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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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We invite applications for a fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is available to UK (Home) candidates only
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PhD studentship in Machine Learning for Computational Physics and Chemistry, University College London, UK A 3.5-year PhD studentship is available to work under the supervision of Prof Jochen
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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Applications are invited for a PhD studentship in the Centre for Human-Computer Interaction Design, based in the Department of Computer Science. The successful candidate will undertake PhD research
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strong programming skills and a background either in computer science, engineering, machine learning, or medical sciences, with a passion for improving cancer care. Please contact Dr. Pawel Markiewicz
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Deadline: 28th March, 4pm GMT, and (subject to availability) 10th May, 4pm BST Change what we can see. See what we can change. We are recruiting for 10 fully funded PhD students for The EPSRC
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(or international equivalent) OR MSc/MRes with distinction. • Master’s degree in Engineering, Computer Science, Physics, or a related field. • Strong programming skills and familiarity with machine learning software
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credentials or research papers in reputable, peer-reviewed journals/conferences) may be accorded preference. Ideally, the successful candidate should have proven skills in NLP, machine learning, and information
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. Existing and new machine learning algorithms will be applied to this problem, with the objective of reducing computational costs, enabling realistic simulations of the large and geometrically complex domains