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. Applicants at the PDRA level must have a PhD in Computer Science or a related field. Expertise in intelligent decision-making under uncertainty is essential, relevant areas include influence diagrams, causal
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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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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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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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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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components. About You Applicants should hold a PhD degree in Mechanical Engineering, Metallurgy and Materials, or a relevant subject (e.g. Materials Science, Engineering Mechanics, Applied Mathematics
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function. This will be achieved using validated in vitro models of human disease. The successful applicant will have a PhD in bone/skeletal research and/or immunology. Additionally, experience of in vitro