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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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Science/Electronic Engineering (or equivalent). Applicants at the PDRA level must have a PhD in Computer Science or related field. Candidates must have substantial knowledge in Deep/Machine Learning, Audio and/or
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epidemiology as well as a relevant PhD (public health, environmental health, environmental science or engineering, epidemiology, microbiology, or similar). The applicant should have a track record of working
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, as well as contribute as a senior academic to the wider achievements of the university. About You The successful candidate will have a PhD in Genetics, Epigenomics, Molecular Pathology, or equivalent
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of child death) study, working closely with other project staff (clinical, project administration, investigators, PhD students, and social science staff). They will supervise other ongoing research projects
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their MA/MSc and is currently working on their PhD or has completed their PhD with an interest in health and social care inequalities, racial and ethnic inequalities. You will need to show evidence of your
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are interested in Hamiltonian Monte Carlo and covariance-informed MCMC samplers. The project is a collaboration with Prof. Ziheng Yang (UCL) and Prof. Philip C. J. Donoghue (Bristol University). About You A PhD in
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Time Closing Date: 23.59 hours BST on Monday 15 April 2024 Interview Date: Wednesday 15 May 2024 Reference: CBS-0074-24 Post-doctoral Research Assistant We are looking for an enthusiastic PhD level
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will have a PhD in health economics, expertise in economic evaluation and cost function estimation, and sufficient relevant experience in the subject areas of TB/HIV and harm reduction. Further
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successful candidate may be required to teach BA and MA courses, and to supervise MA final projects and PhD students. The appointee will be expected to participate fully in delivering the Department’s