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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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; 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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, 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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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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, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
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adaptive trials, stepped wedge trials and cluster trials. You will have good knowledge of applied statistics and statistical theory, especially for pragmatic trials and complex randomisation systems. You
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) in one or more of the following areas: Quantum machine learning, Quantum algorithms, Quantum information theory or Theoretical Physics Essential criteria: Proficiency in at least one programming
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areas. You will also work to develop a programme theory and with the research team to prepare a future research proposal. You will be working as part of a larger research team, and with HDRC partners in
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The Institute for Data and AI (IDAI) promotes excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable
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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