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completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease
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. The group explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic
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Your key responsibilities will be to: develop fundamental theories and enabling technologies for intelligent wireless communication systems design, model and evaluate integrated communication, sensing
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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applications for postdoctoral positions, to be hosted by one of the faculty members listed below. Candidates must hold a PhD in mathematics, or expect to be awarded one by the end of the calendar year of
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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integration and device modelling. Job requirements We are acutely aware that we are a diverse society and not every talented applicant will have had the same opportunities to advance their careers. We therefore
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obtained their PhD in theoretical physics, quantum computing, applied mathematics or similar fields. Expected skills : a good grasp of classical and quantum dynamics; • a solid foundation in mathematical
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. Moreover, you will work closely with the other two postdoctoral researchers hired in the project to work on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in
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device-level properties of amorphous graphene nanoribbons and related structures. This will provide a bridge between atomistic material modelling and experimentally measurable device characteristics