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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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opportunities with national and international partners. We are looking for a candidate who holds (or will soon hold) a PhD in Chemistry (or related areas in materials science and physical chemistry) whose main
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computational modelling techniques, including recurrent and generative models. We are also in the process of developing different toolboxes to make these techniques more available across both our group and
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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Developmen t for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Computational
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research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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criteria Knowledge of Medieval Latin or Neo-Latin Familiarity with corpus annotation standards and tools Familiarity with computational semantics methods * Please note that this is a PhD level role but