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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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or equivalent experience in an appropriate discipline A background in numerical ice-sheet, glacier or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track
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holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development
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methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise, business
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five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through
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: - Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental
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developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
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. The project investigates how co-creation, as an emergent method and process, seeks to build reciprocal partnerships between arts workers and local communities for the purpose of promoting social justice and