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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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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
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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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(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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better preserve the cultural memory of these struggles. To be successful in this role, you should have: A PhD (or an equivalent level of professional experience) in an area of history, theory or practice
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behaviour change interventions. Your knowledge of health-related behaviour theories will be essential. You will have experience in recruitment, data collection, and thematic analysis, including focus group
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Theory Group (SMTG) is led by Professor David O. Scanlon. We are seeking to recruit a Research Fellow in Computational Discovery of Wide Band Gap Conducting Oxides, who will computationally explore new
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in core machine learning theory—including statistics, optimization, and linear algebra—is desirable. The ideal candidate will have a proven ability to independently develop and execute research plans
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publications in top journals (or conferences) in one or more of the following areas: Quantum machine learning, Quantum algorithms , Quantum information theory or Theoretical Physics Essential criteria