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of the position is to pursue cutting-edge research in automata theory, and possibly at the interface with algorithms (fine-grained complexity). We will consider applications for employment on a part-time or other
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theory-driven evaluation skills and quantitative economic evaluation skills to examine the distribution of costs and benefits from these movements in the past, and assess ongoing participatory action
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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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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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, 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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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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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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their creative self-efficacy, originality, and thinking processes. The findings will contribute to theory by redefining creativity as a human-AI collaborative process, and provide practical guidance