29 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
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project, AMBER, to identify the causal determinants of antidepressant response. Our programme of genetic, informatic and cellular work will give insights into the ‘active ingredients’ of anti-depressants
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techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have
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. The candidate will be required to perform hand-on sample extraction, and bioanalysis in biological fluids (serum, breast milk, dried blood samples), including but not limited to method development and validation
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. About the role You will work closely with Prof. Ben Geiger and Prof. Karen Glaser as part of the Centre’s ‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with
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and immunome as well as clinical phenotyping in participants. The work will involve close collaboration with other team members, driving the programme on aetiopathology of neuropsychiatric disease
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dimensions and will examine family and family life as fundamental to the waging and experience of war. The project is interdisciplinary and will utilize mixed methods. The project will have three contemporary
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role in the delivery of a high-profile and innovative research project funded by the National Institute for Health and Care Research (NIHR). The ENHANCED research programme aims to harness the power
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dimensions and will examine family and family life as fundamental to the waging and experience of war. The project is interdisciplinary and will utilize mixed methods. The project will have three contemporary