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molecular and cell biological techniques and investigating the relationship among cell death including autophagy, inflammation and mitochondrial dynamics. Minimum qualifications are PhD and/or MD with strong
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epidemiological studies. They will have a PhD in medical statistics and experience of conducting collaborative health research or have extensive equivalent experience in medical statistics or epidemiological
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the research, and then analysis and publication. The post-holder is expected to have a PhD in hand, be fluent in Pashto & Urdu in addition to being able to conduct field work in a sensitive part of Pakistan
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muscle cells, to determine the dynamics of the regulatory changes in the contractile filaments that control cardiac output. The successful candidate is likely to have a PhD in physiology, pharmacology or a
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require a PhD awarded (or near completion) in computer science or a related field. The ideal candidate will have a strong track record of mobile phone app development, ideally, although not essentially, in
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candidates should have a PhD (or be near submission) in Psychology or a related discipline. Experience with developmental testing, particularly with atypical populations. Previous use of eye-tracking will be
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neuroimaging and psychopharmacology. There is potential to develop a project for an MD/ PhD for a suitable candidate. This post would suit a foundation, core or early speciality trainee with an interest in
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. The successful candidate is likely to have a PhD in the physical computer science or a quantitative aspect of biology, combining strong analytical skills with an interest in biomedicine and the ambition to develop
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of relevant practice. The successful candidate will have a PhD in Psychology / Education or be nearing completion, will have experience in conducting literature reviews and managing large quantitative
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of Engineering at the Strand campus of King's, located in the centre of London. The successful candidate should have a PhD in Electrical Engineering with expertise in communication systems and machine learning