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the joint supervision of Dr Gregory Chass and Dr Devis Di Tommaso in the School of Physical and Chemical Sciences at Queen Mary University of London (UK). About You The ideal candidate should possess a PhD
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science for the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024. About You You will have a PhD and track record in either
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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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have a PhD in bone/skeletal research and/or immunology. Additionally, experience of in vitro (bone) cell differentiation and associated molecular, proteomic and imaging techniques is required. Experience
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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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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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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