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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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: 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
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well as competence in handling sensitive and confidential data. The candidate will work closely with the Principal Investigator and other team members to integrate experimental findings and theory to develop new tools
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and