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of their areas of expertise will be complementary. Broadly the posts include a qualitative research methods expert, a qualitative research methods expert in big data, and a quantitative research methods expert
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experimental studies, collecting data from human participants and analysing crossing behaviour as well as head/eye tracking data? Are you interested in joining the vibrant and world-renowned Human Factors and
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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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utilise modelling techniques using phenotypic information derived from the electronic clinical records for large populations with long term conditions. The post holder will undertake translational research
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possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Advancing large recommendation models: Techniques for high-quality data construction and
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biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists, Data Scientists or the Center Director, as appropriate, Fellows
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data (BLISS). You will be based in the Cancer Division at the Clinical Trials Research Unit within Leeds Institute of Clinical Trials Research (LICTR). The Unit is one of the largest in the UK and
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been recent rise in vision foundation models such as GPT-4o, Instruct-BLIP and LLava. However, training foundation models has significant environmental costs tied to large scale datasets as highlighted
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experience of a large, multi-work package programme of multidisciplinary work focussing on the ageing population in sub-Saharan Africa. A PhD is essential, and the successful applicant will have demonstrated a
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to undertake simulation, data-driven analysis fieldwork, conduct secondary analysis and publish research findings in a variety of outlets both academic and non-academic. To provide support to the Project Lead to