304 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions in United Kingdom
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- KINGS COLLEGE LONDON
- University of Liverpool
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- AALTO UNIVERSITY
- University of Cambridge;
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- Imperial College London
- LIVERPOOL JOHN MOORES UNIVERSITY
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- Imperial College London;
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- Queen Mary University of London;
- University of Bath
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- University of Reading;
- VIN UNIVERSITY
- Aston University;
- Cardiff University
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- European Magnetism Association EMA
- Georgetown University
- King's College London;
- Liverpool School of Tropical Medicine;
- Lund University
- Queen's University Belfast
- Royal College of Art
- Scotland's Rural College (SRUC);
- St George's, University of London;
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF HELSINKI
- University of Dundee;
- University of East London
- University of Glasgow;
- University of Hull;
- University of Lincoln
- University of Southern Denmark
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Field
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis
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machine-learning-based approaches, and to evaluate the thermodynamic costs of quantum operations. You should work effectively as part of a team and engage constructively with collaborators. You will hold a
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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, machine learning, and/or computational biology to be able to work within established research programmes. They will have excellent communication skills, including the ability to write for publication
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imaging datasets and advanced machine learning approaches to identify novel imaging markers of mental health disorders and cognitive function; 2) developing robust MRI-based acquisition, image
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Expertise in one of the following areas applied to sports and/or human movement science: Computer Vision Match & Performance Analysis Machine Learning Ubiquitous Computing Virtual Reality Teaching experience
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and machine learning systems led by Prof Christopher Summerfield. The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with
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to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science or statistics. They will bring strong
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and
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models (mathematical + software) of existing grid operational practices Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems Developing machine