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The Digital Mental Health Group is an innovative and collaborative research group studying the intersection between digital technologies, adolescent mental health and developmental cognitive
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PI Dr Ali Meghji on a project entitled 'Theorizing the global field: the de-Americanisation of Pan-Africanism'. You will have research experience and specialist knowledge in archival and historical
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. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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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
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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. Please refer to the further particulars document for a full list of the essential knowledge, skills and experience required for the role. Click the 'Apply' button below to register an account with our
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. They will use this knowledge to develop strategies to engineer expression in plants, seeking to optimise yields from metabolic pathways. Key skills The successful candidate must have a PhD in molecular or