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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
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another 2 PhD students with computational skillsets, a post-doc with microfluidics expertise, and a post-doc with biomedical acoustics expertise. Together, you will be creating a new generation of
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, epidemiologists and statisticians. This will entail assisting others to work towards their own specific aims and mentoring and training of team members, where appropriate. For Research Associate level: Hold a PhD
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collaborations with other world-leading centres. PhD in cardiovascular science or related field or equivalent Extensive research experience Strong skills in digital twin technologies and in-silico medicine
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sciences. - Bioreactor design, bioprocess engineering, downstream processing applied to future food - Artificial Intelligence and alternative proteins or future food PhD (or equivalent) in Alternative
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and to help attract external research funding. You should hold a PhD in Cancer Biology and Cancer Immunology or a closely related discipline. You should have knowledge of cancer immunology and
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and provide guidance to staff and students. You should hold a PhD (or equivalent) in biochemistry, physics, materials or chemistry with detailed training in X-ray crystallography. You have advanced
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theoretical and computational analyses of transport and exchange processes using high performance computing, to guide optimisation of cDTI measurements. Research Associate: Hold a PhD in applied computational
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independence. You will have a PhD (or equivalent) in structural biology, with solid experience in cryo electron microscopy. You must have strong experience in the design and execution of end-to-end workflows
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alternative career development in technical profession or research management. For suitably experienced applicants, completion of a supported PhD during the post may be feasible. Coordinate participant