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Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial Optimisation Commitment to Diversity The University
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agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an
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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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, mass spectrometry, electrochemistry and inline analysis welcome as is an interest or experience in theory, programming or computation. For appointment at grade 8 some post doctorial experience in
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Hussam Jouhara, to work on the above-mentioned research tasks and project. The successful candidate will also be involved in a broad range of theory, development and empirical work to support the
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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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photochemical processes. Essential Duties and Responsibilities: Perform computation studies using quantum chemistry software Develop and adapt methods for electronic structure theory Manuscript preparation and
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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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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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and interventions, contributing to the development of a Theory and Practice of Change to guide effective, health-focused transport policy and implementation. The Fellow will: Collaborate with practice