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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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; and other duties, such as publishing papers and supervising other researchers. You will work closely with another 2 PhD students with computational skillsets, a post-doc with microfluidics expertise
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, and professional development offered by Imperial College London Opportunities to supervise and mentor PhD students, MSc projects, and early career researchers A supportive and inclusive working
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a range of formats such as lectures, seminars, tutorials, coursework, and individual supervision. Experience supervising PhD candidates to successful progress and completion. Evidence of contributing
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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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(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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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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. The position requires the candidate meets the academic requirement to register for PhD at Imperial College London. The candidate needs to spend 6-8 months of secondment in consortium partner’s site in Sweden
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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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, 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