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Field
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at international conferences and prepare scientific publications Your Profile Master’s degree in physics or a closely related subject Solid background in quantum many-body theory and/or statistical physics
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of the effects of land use and climate change on mountain ecosystems and landscapes Methodological knowledge for analysing social-ecological systems (e.g. Theory of Change, DPSIR model) and for analysing trade
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theories can describe how exchange correlations stabilize magnetically ordered ground states, they do not capture the non-equilibrium kinetics of ordering, nor the ultimate timescale on which order emerges
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coupled-cluster (EOM-CC) theory with periodic DFT (pbcEOM-CC). To quantify spin-phonon couplings of spins on surfaces—the bottleneck to modeling spin relaxation—we will develop a new approach using pbcEOM
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software developed concurrently by a postdoc in our team. The successful applicant will be an integral member of the GreenTE community, which offers an open, diverse and inspiring environment to engage in
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of children in urban contexts. We are looking for a motivated PhD candidate who can conduct interdisciplinary research, combining theories and methods from urban studies and biomedical sciences. Researching
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living
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, Governing change ’. In our work, we build on a diverse set of public administration and policy science concepts and theories and apply a diverse range of methods that we use whenever suitable for the research
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theory, statistical inference, and probabilistic modelling for uncertainty quantification in deep learning, particularly large language models. The focus will be on quantifying and evaluating uncertainty
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application! Your work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special