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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: The School of Neuroscience is UK’s 2nd largest Neuroscience school with over 500 researchers and 200 PhD students. It is one of three
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candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills
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, Mairi Sakellariadou, Sarben Sarkar and Tevong You, as well as postdocs and PhD students. Although STFC funding decisions are still not finalised, we hope to have funding confirmation in time to make
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following skills and experience: Essential criteria Hold a PhD in Chemistry, Materials science, Physics or equivalent. Demonstrable experience in either atomistic molecular dynamics simulations or quantum
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD in relevant subject area * Experience in working with bioimaging and other spatial data, including
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, utilising implementation science methodology. The interventions will then be evaluated in a data-enabled clinical trial. This role is suitable for post-PhD researchers with experience in qualitative or mixed
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. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Hold a PhD in Chemistry, Materials science, Physics
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in synthetic chemistry, nanomaterials, radiochemistry (or relevant chemistry field
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. Over the last 5 years the Jackson Lab has obtained over £5m in grant funding and published over 50 original research manuscripts About the role This role is for a scientist who has obtained a PhD and has