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mathematical and numerical tools? Are you an innovative and productive team player who enjoys working in an interdisciplinary team with a background ranging from mathematics and theoretical physics all the way
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vulnerabilities (including to security and privacy) that may be introduced when AI is used to process data from wearable devices such as ‘smart glasses’. The project involves academics from Universities
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Astronomy which hosts world-class research across a range of areas including Experimental Particle Physics, Theoretical Physics, and Condensed Matter & Materials Science. Space & Astrophysical Plasmas group
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Experimental Particle Physics, Theoretical Physics, and Condensed Matter & Materials Science. Space & Astrophysical Plasmas group has a long history of high-quality research and is part of the Astronomy Unit
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physics (e.g., Turing patterns). This will involve: (i) developing new analytical/theoretical tools for the study of reaction-diffusion systems, (ii) performing large scale, machine-learning-assisted
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Applicants are invited to apply for two Post Doctoral Research Associate positions within the Department of Applied Mathematics and Theoretical Physics, under the instruction of Professor Raymond E
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to develop and implement the academic, theoretical, and policy-applied work components of the project. The PDRA position has three primary work packages: Work Package 1 (Case Study Fieldwork): The PDRA will be
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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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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. Both methodologies represent substantial advancements in the theoretical understanding of neural network dynamics and highlight different mathematical aspects of network "trainedness". By rigorously