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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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Document project progress, report results, and present findings to stakeholders Stay up to date with the latest machine learning techniques and tools, particularly in the field of computer vision The Person
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Applications are invited for a Senior Researcher in Decision Analytic Modelling, working with Associate Professors Apostolos Tsiachristas and Brian Nicholson, on a research programme developing and
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
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Location: Aston University Main Campus Contract Type: Fixed Term (31/07/2027) We are seeking a highly motivated Research Fellow to join the Aston Institute of Photonic Technologies (AiPT) and contribute to Horizon Europe-funded project ECSTATIC (Engineered Combined Sensing and Telecommunications...
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mosquitoes and producing malaria infected mosquitoes for researchers within the Jenner Institute and external costumers alongside with assisting in the research pertaining to the Malaria Vaccine Programme, but
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We are seeking a Post-doctoral research associate to investigate the mechanisms of mutagenesis in the human genome. The Opportunity: To lead a programme of original, high-quality research focusing