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, three PhD students and a postdoctoral researcher. The project is led by Dr. Yiren Zhao at Imperial College, who is supported by Prof. George Constantinides and Prof. Wayne Luk. The team also includes Dr
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allowances, flexible working, pension scheme and relocation package (if applicable). Job category/type: Research Job reference: Q07290 Faculty of Health and Life Sciences This new full-time post is immediately
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this role, we are looking for candidates to have the following skills & experience: Essential criteria PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g., sociology
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree in Engineering, Computer Science
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and Mental Health Data Science) and Professor Graham Murray (Professor of Psychiatry and Neuroscience), who have conducted several studies to investigate clinical outcomes in mental disorders using real
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have proven academic ability and a demonstrable high level of technical competence in computational data science and the analysis / modelling of the results. Theoretical or experimental experience of in
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely