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Field
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information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Neuroscience or related subject area. Solid
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mathematics, or computer science, as long as they have had prior experience in applying these skills to biology or allied fields, like neuroscience and medicine. However, candidates without prior exposure
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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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(e.g., dyslexia) and their neurobiological bases. The ideal candidate holds a PhD degree in linguistics, psychology or cognitive neuroscience, and has several years of postdoctoral experience, including
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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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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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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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) Established Researcher (R3) Country United Kingdom Application Deadline 2 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not