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is aimed at early career academics and innovators who are transitioning to, or establishing independence. Typically, successful fellows will have finished their PhD, published several lead-author
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must have, and your application should clearly demonstrate that you meet the following essential criteria: Hold or be about to obtain a PhD (awarded / submitted*) in health data science, epidemiology
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://www.nottingham.ac.uk/research/research-areas/biodiscovery-institute/biodiscovery-institute.aspx ) About you – A PhD, or the equivalent in professional qualifications, and experience in blood cancer cell culture and drug
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and potentially co-supervise PhD students. About you The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute
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The ideal candidate will have a PhD in a relevant subject such as statistics, mathematics, physics, operations research, computer science or data science, and have a strong statistics background
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partners throughout Europe. The successful candidate will have a PhD or equivalent professional qualification and experience in a relevant physical/engineering science. The candidates must possess detailed
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academics, postdoctoral research fellows and PhD students at the other University project partners. The initial contract will be for 3 years with the possibility of extension. The project would ideally suit a
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facilities (www.nottingham.ac.uk/research/research-areas/biodiscovery-institute/biodiscovery-institute.aspx ) About you – A PhD, or the equivalent in professional qualifications, and experience in blood cancer
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demonstrate that you meet the following essential criteria: Normally have, or be about to obtain*, a relevant PhD eg epidemiology, social sciences, psychology or allied health. (*must be obtained within 3
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journals and conferences. PhD (or equivalent) in Human-Computer Interaction, Computer Science, or a related field. Strong understanding of ultrasound mid-air haptics. Experience developing and applying mid