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related discipline • Some knowledge of the theory of materials and experience with computational methods in materials science • Some experience with machine-learning interatomic potentials • Good
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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Financial Markets; Political Economy and International Trade; Industrial Organisation; Economic Theory. We also host a modern experimental lab known as LExEL and the International Housing Market Observatory
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A PhD position is available at the Theory and Foundations group in the Department of Computer Science, University of Warwick, UK. The group works on various aspects of theoretical computer science
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violations is longstanding. Such corporations operate across borders and through diffuse and complex decision-making structures that frustrate the attribution of criminal responsibility on a national level
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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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Time Span 01 Apr 2026 for 4 years Application Deadline 15 Dec 2025 Areas of study Development Co-operation, International Relations, Political Science, Developmental Psychology, Clinical Psychology
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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to develop and analyse implementable, fully discrete methods for function approximation, density estimation, and/or time-dependent PDEs or SDEs in high dimensions, with links to UQ and theoretical