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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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expertise ranging from mathematical modelling to chemistry, molecular and cell biology, material sciences and engineering, and medical devices. The Research Fellow will be working in collaboration with
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adapt methods for electronic structure theory Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent
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well as competence in handling sensitive and confidential data. The candidate will work closely with the Principal Investigator and other team members to integrate experimental findings and theory to develop new tools
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submission) in Philosophy, Applied Philosophy, Political Philosophy, Ethics, Bioethics, Feminist Theory, Law or a relevant discipline. Prior research experience e.g., as a research assistant or associate
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women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEM). Further details Job Description
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEM).