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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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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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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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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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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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into and in work, and relevant secondary data, and help produce case studies of supported employment initiatives in the four HDRC areas. You will also work to develop a programme theory and with the research
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(or conferences) 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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publications on AI security. You will also prepare working theories and analyse data from a variety of sources, contribute ideas for new research projects, act as a source of information and advice, and
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publications on AI security. You will also prepare working theories and analyse data from a variety of sources, contribute ideas for new research projects, act as a source of information and advice, and
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Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data-intensive research