266 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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or depth of specialist knowledge in research methods and techniques to work within established research programme Understanding of working with human tissues and the HTA Data analysis and IT skills
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information Informal enquiries are welcome and should be made to Prof Dominick Shaw on des21@le.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be
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geographic information systems is still in its infancy. The Chist-ERA Geo-R2LLM project aims to create a novel paradigm for building knowledgeable and multimodal geographic LLMs by rethinking LLMs generation
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in clinical artificial intelligence and digital health About you You will have substantial practical experience in machine learning, data science or artificial intelligence, supported by a strong
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and quantum cellular automata, many-body quantum chaos, quantum integrability, (generalised) hydrodynamics, quantum information scrambling, entanglement measures, tensor-network theory. The ideal
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Information below for the full list of essential and desirable criteria. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where
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bias, and move beyond a neutral scientific view to acknowledge historical context. Specifically, your role will involve leading qualitative data collection and analysis across different phases
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laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
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data teams, and take the lead on clinical delivery. This will include screening and vaccinating study volunteers, providing medical oversight during vaccine administration, and monitoring participant
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data and identify appropriate costs To extract relevant data from published economic studies. Such data is likely to include costs, outcomes, assumptions and other parameters To estimate costs and