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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or
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and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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at . About you You must have a PhD in bioinformatics, biosciences, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine
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the programme leader (Professor in Mental Health Research), two research fellows, 3 PhD students and 6 DClinPsych trainees. In addition, the team will work alongside a team of other fellows and researchers
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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programme is focused on 1) understanding the biology of paediatric medulloblastoma with a particular focus on the role of myc as an oncogenic driver, 2) exploiting therapeutic vulnerabilities in combination
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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people Essential criteria Qualifications A PhD/Doctoral level qualification in Health Psychology/behavioural science or equivalent OR Stage 1 Masters degree in Health Psychology (at Merit grade or above
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are required to hold the following qualifications: A Bachelors or Masters degree, ideally in a relevant STEM discipline (eg. Biological sciences). A PhD (or near to completion) in a field relevant to the project
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational