56 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at University of Cambridge in United Kingdom
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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local contexts. The successful candidate will be encouraged to contribute to all components of the group's programme but will be expected to i) map the range of primary and community health services
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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between the Universities of Cambridge and Bonn and numerous international partners, and funded by Stiftung Mercator. The programme investigates how to place the questions of social justice and environmental
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-temperature reactor technology; experience in developing mathematical, numerical and computational models; the ability to work as part of a team with excellent communication skills. Appointment at Research Associate
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methods, with a breadth of conceptual knowledge in historical sociology. You will have research expertise in historical studies of empire, colonialism, and/or anti-colonialism evidenced through doctoral
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is to design and develop analytical, computational, and mathematical methods to understand the fundamental processes that govern the evolution of antigenically variable viruses. Our research is highly
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the development of globally inclusive language technologies and to design transformative approaches to overcome them. Responsibilities of the post holders include the development of new methods for multilingual
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developing theoretical and computational methods to investigate biological systems. Preference will be given to candidates with experience in modeling the genetic basis of phenotypic variability. The candidate
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three