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HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
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This new post is available from 1 August 2025 on a fixed-term basis until 23 June 2026. The post We seek to recruit a new full-time Postdoctoral Research Associate or Fellow to use mathematical
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communication skills to collect empirical data, as well as knowledge of the dominant paradigms, theories, and empirical methods applicable to the topics mentioned above. Candidates who have strong knowledge and
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. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
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. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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University of Sheffield, School of Mathematical and Physical Sciences Position ID: MPS -TT_IRF [#26555] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Sheffield
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: Engage with clinicians and patients in a collaborative co-design process to develop and test (using health psychology theory and methods) innovative, evidence- and theory-based tools, including: (i
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helps us question theories and improve our understanding, lending itself to better solutions. Willingness to share your insights is crucial to achieving a vibrant and creative research environment
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astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme will focus on the overlap between between nuclear structure and nuclear astrophysics and their responsibilities will