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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
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faculty. You participate in research projects and studies. Candidate Profile: You might have a background in computational chemistry, theoretical condensed matter physics, computer science, or a similar
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are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials
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. Both methodologies represent substantial advancements in the theoretical understanding of neural network dynamics and highlight different mathematical aspects of network "trainedness". By rigorously
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methods will be used to close the complexity gap. Applicants will have outstanding achievements or show promise in any area of theoretical solid-state physics, including but not limited to modeling
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well as qualitative approaches including semi-structured interviews with women, families, and clinicians. These interviews will inform the design process and deepen understanding of the everyday contexts and
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics to work on rigorous mathematical analysis of geophysical fluid equations
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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Applications are invited for a Research and Innovation Associate in the atomic astrophysics group, Department of Applied Mathematics and Theoretical Physics, University of Cambridge. The successful