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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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interaction between atherosclerotic plaque macrophages and neutrophil extracellular traps and how it impacts cellular function and disease progression. About You Applicants should hold a PhD degree or
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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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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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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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and enabling device choice/design by predicting the patient’s response. The role is funded for 3 years in the first instance. About You The ideal candidate will have a PhD in a numerate field with
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Grade 5, Spinal Point 31 [£42,405 per annum (pro-rata)], inclusive of London Allowance. Interviews will be held in late April or early May. About You Candidate will have a PhD relevant to mental health
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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