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Field
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students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub
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exciting project, funded through a CRUK Programme Foundation Award, seeking to discover novel mechanisms of oncogene activation occurring through enhancer dysregulation, with a focus on noncoding somatic
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new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute
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strategic capability within the UKERC consortium, overseeing the development of UKERC outputs on electricity markets and policy, undertaking and leading modelling and numerical analysis as appropriate. You
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apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography–mass spectrometry (LC–MS)-based comparative metabolomics datasets spanning a range of model
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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and knowledgeable in the areas of stress analysis (including the Finite Element Method), material characterisation (particularly flow stress determination and modelling), mechanical testing methods
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the partnership, the Associate will develop the ability to: (i) model and predict fluid flow and system performance for large-scale systems; (ii) assess how different types of fouling may affect the membranes and
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake