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Field
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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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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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fertiliser equity and realising NH3's potential as a zero-carbon fuel. The broader Fellowship programme focuses on the development and application of operando vibrational spectroscopy and optical/electron
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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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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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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
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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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You 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
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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reports for downstream clinical applications. Essential Criteria PhD qualified in relevant subject area (or pending results/near completion) Experience applying multi-modal models specifically in medical