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should indicate this within their application. Candidates in their early career post-PhD are expected to start at the lower end of the salary range. You will: Develop and apply novel graph learning based
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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novel machine learning algorithms. You will be a motivated PhD in Chemistry with specialisation or equivalent research or industrial experience in digital chemistry, chemometrics and experimentation
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applying machine learning to a large and diverse, curated clinical dataset. The candidate should have a PhD or MSc in a relevant field such as Neuroscience, Cardiovascular Science, Computer
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(AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for small molecule accumulation in bacteria. The position is available full time, starting in February 2026 (or as soon as possible
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, ideally applied to computational protein design, molecular modelling, or machine learning for biomolecular systems. Practical experience in molecular cloning, protein expression, purification, and
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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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The role will engage in cutting-edge translational research that develops computational models for predicting outcomes in cardiac diseases. This includes a machine learning model to rule out heart