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the role The PDRA will carry out research on probabilistic circuits (PCs) and tree-based machine learning methods for generative modelling, with a particular focus on responsible AI. The project builds
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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4
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analysing the intersection of the financial and fertility sectors as a key site of reproductive politics. Using qualitative methods, this project consists of three work streams analysing case studies that may
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, including methods for shape inference or reconstruction. Experience working with medical imaging data, such as ultrasound or MRI, including an understanding of common sources of noise, variability, and bias
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-methods research. The post-holder will contribute to research activity across the Centre, working closely with senior academic supervisors and gaining skills in a range of areas, including complex
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properties. Knowledge in the design of imaging probe validation experiments using a combination of in vivo, in vitro and analytical methods and experience of clinical research ethics and applications Please
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working effectively as part of a multi-disciplinary research team. An enthusiasm for healthcare data research and willingness to adapt and learn new research methods. Desirable criteria Knowledge
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spectral efficiency, 6G networks must address the leakage of critical and confidential information at an affordable cost, complexity and power consumption. Traditional cryptography methods cannot, however
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criteria PhD in research methodology, social sciences, or a closely related field (or near completion). Demonstrated experience in participatory, visual embodiment, and interpretive research methods. Track