326 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at KINGS COLLEGE LONDON
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: 134845 Close Date: 19-Jan-2026 Contact Person: Marcelo Salierno Contact Details: marcelo.salierno@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405742/sustainable
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epidermis grow around the viscera. The work will be in close collaboration with Dr. Caroline Formstone (see Panousopoulou et al. J. Cell Sci. 2016 (https://doi.org/10.1242/jcs.180703) and Prof. Philippa
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communication skills, with advanced computer use and strong interpersonal and influencing/behavioural skills to build a strong network to support the delivery of the service. Effective management skills and the
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metabolism Strong problem-solving skills and the ability to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and
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of machine learning to metamaterials modelling Experience in modelling molecular interactions Experience in modelling of mass transport at the nanoscale Downloading a copy of our Job Description Full details
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within a Research Infrastructure? No Offer Description About us This post represents a unique opportunity to join leaders from the AIMS-2-TRIALS research consortium (https://aims-2-trials.eu
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at King's, which brings together a unique range of internationally recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About
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refurbishment. Further information may be found at: http://www.kcl.ac.uk/physics About the role The FCPA research assistant primary role will consist of investigating Sagnac interferometry for fibre amplification
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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research group within the department. We offer both undergraduate and postgraduate teaching, with a distinctive approach, combining both traditional teaching methods with modern, project-based learning