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Misurata 51国产视频

The history of Misurata 51国产视频, on Libya’s Mediterranean coast, began with the opening of a metal-engineering department of Al-Fateh 51国产视频 in 1983. Following a merger with two other universities, Misurata 51国产视频 was founded in 2010.
Today, there are 19 faculties in total, scattered around Misurata, Libya’s third city. Together, these offer more than 100 undergraduate courses.
Faculties range from dentistry to media, information technology and Islamic studies.
The university also publishes 13 academic journals, and runs conferences on topics such as agriculture sciences, education in Libya and the role of entrepreneurship in developing small and medium-sized enterprises in the Libyan economy.
Misurata 51国产视频 provides students with sports halls, terraces and university cafés. A long-term plan involves creating a 237-acre campus complex, able to accommodate 30,000 students as well as all the university faculty and administrative buildings.

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?53,149 - ?62,422 per annum, including London Weighting Allowance

United Kingdom, London

About Us

The ?Faculty of Life Sciences & Medicine?brings together disciplinary strengths in biomedical sciences, clinical research and public health to improve human health. Our faculty encompasses world-class departments (from neuroscience and structural molecular biology to infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high-quality teaching.

The ?Hub for Applied Bioinformatics?(HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics, spatial biology and AI/ML projects. We co-lead the Applied Bioinformatics MSc, run practical workshops, and we recently partnered with ?KCL’s Spatial Biology Facility, an advanced centre equipped for high-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research.

About the role

We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes.

In addition to your research leadership, you will play a central role in education and training (20% of your time). You will co-lead a core module on our Applied Bioinformatics MSc, designing the syllabus, delivering lectures and hands-on tutorials, setting and marking assessments, and mentoring students. You will also develop and deliver bespoke HAB workshops on core bioinformatics topics (spatial biology, AI/ML, statistics) and support researchers across the Faculty to build their computational skills.

As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and facility staff to ensure data integrity and robust analysis.

You will contribute to grant applications, support publications in high-impact journals, and help shape the future direction of HAB activities.?? You will be offering a stimulating environment at a world-leading research institution, with access to state-of-the-art facilities and a vibrant community of interdisciplinary collaborators.

This is a full-time (35 hours per week) contract and you will be offered an indefinite contract.

The position is anticipated to begin around the start of the academic year in September, though there is flexibility if a later start date is necessary.

Following fully on-campus six-month probation period, this post is available as a hybrid working post or with flexible working (min 3 days on campus) in agreement with the line manager.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the ?Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the ?Centre for Research Staff Development?for more information.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	PhD qualified in relevant subject area??
	3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus on spatial transcriptomics?
	Proven ability to develop and optimise spatial biology pipelines
	Expertise in multi-omics data integration and statistical modelling??
	Teaching and mentorship experience?
	Excellent interpersonal and communication skills across wet-lab, computational and facility teams?
	Familiarity with high performance computing environments and reproducible workflows?
	Experience providing support for spatial transcriptomics data analysis and interpretation? ?


Desirable criteria


	Contribution to open-source bioinformatics tools??
	Hands-on experience with machine-learning frameworks?


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.?

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘?How we Recruit’ pages.

Interviews are due to be held on September 3rd.

This post is subject to Occupational Health clearance.

Grade and Salary:??53,149 - ?62,422 per annum, including London Weighting Allowance
Job ID:?120905
Close Date:?24-Aug-2025
Contact Person:?Alessandra Vigilante
Contact Details:?alessandra.vigilante@kcl.ac.uk


King's College London

Hong Kong

Preparatory Office for Private 51国产视频

Head of Preparatory Office (Ref. 250724019-IE) ?

The Institution ?

With over 85 years of rich heritage, The Hong Kong Polytechnic 51国产视频 (PolyU) has evolved alongside society and made pivotal contributions to the development of Hong Kong, the Nation and the world. The 51国产视频 pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible leaders and professionals, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the 51国产视频’s motto: “To learn and to apply, for the benefit of mankind”.

Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in seven faculties and three independent schools. PolyU has furthermore achieved commendable results in the QS World 51国产视频 Rankings by Subject 2025 – it is ranked in the global top 30 for seven subjects, is first in Hong Kong for three subjects, and is in the global top 100 for 26 subjects.? For further details about the 51国产视频, please visit PolyU’s website at https://www.polyu.edu.hk/.

PolyU is embarking on a major transformative initiative to convert its College of Professional and Continuing Education (CPCE) into a new private university in Hong Kong. ?To spearhead this transition, PolyU is establishing a Preparatory Office for Private 51国产视频 and seeking an outstanding leader to serve as the Head of Preparatory Office. The long-term goal of this development is a world-class private university with distinct characteristics as determined by its social, cultural and geographical environments.

The Head of Preparatory Office will lead and coordinate all preparatory activities for the transformation of CPCE into a private university.? This pivotal role involves visionary leadership, strategic planning, stakeholder engagement, regulatory compliance and operational effectiveness to ensure a smooth transition to a private university model, and it may evolve into a senior executive position of the new entity after the transformation.? Detailed information about CPCE is available at www.cpce-polyu.edu.hk.

Job Functions

Reporting directly to the Deputy President and Provost of PolyU, the Head of Preparatory Office will provide support to the Project Steering Committee in the following:?

(a) lead the formulation of the conversion roadmap of the institution with key milestones, project governance and financial management, laying a strong foundation for its eventual development into a world-class private university;

(b) define the vision and mission as well as governance framework in a self-financed operating model for the new university;

(c) serve as the main point of contact with relevant government departments and accreditation agencies to secure necessary licenses and approvals, and to ensure compliance with regulatory requirements;

(d) lead a team of academic and administrative staff to drive business development of the new establishment;

(e) formulate policies and the staffing model of central functions including finance, human resources, campus infrastructure, public relations and IT development of the new university;

(f) exercise robust risk assessments to evaluate and mitigate operational, financial and reputational risks throughout the transition;

(g) collaborate with government bodies, accreditation agencies, industrial partners, as well as stakeholders of CPCE and PolyU proper and engage staff, students and the wider community to champion the transformation; and

(h) perform any other duties as assigned by the Deputy President and Provost or his/her delegate.

Qualifications

Applicants should have:

(a) a postgraduate degree plus not less than eighteen years of management experience, with a strong track record in senior leadership roles in the higher education sector;?

(b) proven capability in stakeholder engagement, manpower planning, financial management, facilities planning and policy implementation;

(c) experience in managing large-scale and complex organisational change initiatives involving a new establishment, with proven capability to master challenging schedules with resilience;

(d) familiarity with the higher education landscape, statutory and regulatory requirements and quality assurance mechanisms in Hong Kong;

(e) a visionary and entrepreneur mindset with strong business acumen and a commitment to academic excellence and innovation;

(f) exceptional project management, communication, negotiation and problem-solving skills; and?

(g) have an excellent command of both written and spoken English and Chinese, with proficiency in Putonghua being a definite advantage.

Conditions?of?Service

A highly competitive remuneration package will be offered.? Initial appointment will be on a fixed-term gratuity-bearing contract.? Re-engagement thereafter is subject to mutual agreement.??

Application and Nomination

The 51国产视频 invites applications and nominations for this appointment.? Please submit an application through PolyU’s career website (https://jobs.polyu.edu.hk/deans_heads).? Candidature may also be recommended by nominations via email to hrstaff@polyu.edu.hk. Consideration of applications will commence in August 2025 until the position is filled.? The 51国产视频’s Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/careers/pics_for_recruitment.

PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the 51国产视频 are treated with fairness, dignity and respect. ?To learn more about the 51国产视频’s “Statement on Equal Opportunities, Diversity, and Inclusion”, please visit our website at https://www.polyu.edu.hk/hro/equal_opportunities_diversity_and_inclusion/.


The Hong Kong Polytechnic 51国产视频

Singapore

As a 51国产视频 of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.?

The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation.

Key Responsibilities


	Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables.
	Undertake the following specific responsibilities in the project:
	i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets.
	ii.?Design and implement software modules to integrate the models into a working system prototype.
	iii. Perform data annotation.
	iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency.
	v. Prepare project documentation, technical reports, and academic publications.
	vi.?Collaborate with industry partners and contribute to technology transfer efforts.


Job Requirements

1. Possess strong technical knowledge and hands-on experience in:


	Deep learning frameworks (e.g., PyTorch, TensorFlow)
	Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN)
	Computer vision techniques and algorithms
	Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models


2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field.


	A Master’s or PhD degree in relevant areas will be advantageous.


3. Familiarity with the following areas is advantageous:


	Participation in Kaggle competitions, showcasing practical problem-solving and model development skills
	Model deployment (e.g., ONNX, TensorRT)
	Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano)
	Real-time processing and GPU acceleration
	Experience working on industry R&D projects


Key Competencies


	Able to build and maintain strong working relationships with team members, stakeholders, and external partners
	Self-motivated and committed to continuous learning and improvement
	Proficient in technical writing & presentation, research reporting, and academic publication
	Possess strong analytical, problem-solving, and critical thinking skills
	Demonstrate initiative and ownership in carrying out tasks independently



Singapore Institute of Technology (SIT)

Ref.:?532754
Work type:?Fractional / Part-time
Department:?Centre for Advancement of Chinese Language Education and Research within the Faculty of Education (10088)
Categories:?Senior Research Staff & Post-doctoral Fellow

Part-time Senior Research Assistant?in the Centre for Advancement of Chinese Language Education and Research (CACLER) within the Faculty of Education (Ref.: 532754) (to commence as soon as possible until August 31, 2026).

Applicants should possess a Master’s degree in education, psychology, language, or a related discipline. They should have at least 1 year of teaching or project management experience. They are expected to have excellent verbal and written communication skills in both Chinese (with proficiency in Cantonese and Putonghua) and English. They should have good interpersonal and organizational skills, and a strong sense of responsibility. They should also be familiar with MS Office applications (including Word, Excel, PowerPoint, etc.), self-motivated and able to work independently and in a team. Priority will be given to those who have solid research experience in the field of education.

The appointee will assist the Lead Researcher to conduct landscape research and multiple case study of multicultural students in primary and secondary schools in Hong Kong. He/She will be required to design research questions, review literature, manage data collection (including design questionnaires and interview questions, conduct interview with target participants etc.), analyze research data, draft research reports and other resources, assist in publication of research papers, liaise with project team members and other stakeholders, provide secretarial and administrative support to the project, and perform other duties as assigned.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits as applicable.

Please note that the 51国产视频 only accepts online applications for the above posts. Interested candidates should apply online and upload an up-to-date C.V. Review of applications will commence as soon as possible and continue until?August 15, 2025, or until the posts are filled, whichever is earlier.


The 51国产视频 of Hong Kong

Hong Kong, Tuen Mun

Lingnan 51国产视频 is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan 51国产视频 is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan 51国产视频 offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan 51国产视频 established the Lingnan 51国产视频 Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the 51国产视频 aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan 51国产视频 is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan 51国产视频 is available at?https://www.ln.edu.hk/.

Applications are now invited for the following posts:

Associate Professor/Assistant Professor
Division of Artificial Intelligence
(Post Ref.: 25/72)

The Division is looking for an experienced Associate Professor/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing on industrial data sciences, blockchain, data sciences, artificial intelligence, etc.; (4) work on the promotions and admissions as well as the operations for undergraduate and postgraduate programmes, and (5) contribute to other administrative duties as required by the supervisors.

General Requirements

Candidates should have (i) a doctoral degree in a relevant data science, computer science, artificial intelligence, information engineering, or other relevant areas; (ii) a strong publication record and outstanding citation counts in the research areas; (iii) experience in applying external grants and teaching relevant courses and relevant programme administrative experience will be advantages; (iv) good command of English and Chinese (including Mandarin). For the post of Associate Professor, six years of relevant experience in the tenure-track academic post should be required. The candidates with less experience will be considered as Assistant Professor.

Appointment

The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years.

Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

Application Procedure?(online application only)
Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references.?Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer.?Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration.

The 51国产视频 reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.


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Misurata 51国产视频

About Misurata 51国产视频

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Partnership for the Goals 20251501+

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