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Field
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position is a PhD in physics, computer science, statistics, or a related field. The candidate should: Be interested in statistical inference and methods, with a focus on the Bayesian approach. Possess solid
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Job Description The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU, Campus Odense or Vejle) invites
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statistically reliable AI, with applications to engineering. The research will focus on the design of formal reliability guarantees for black-box AI models operating under highly non-deterministic and context
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Offer Description The goal of the Opus 27 project “Ab-initio Green’s Function Methods for Describing Magnetic Compounds with Strong Spin-Orbit Coupling” (Principal Investigator: Dominika Zgid), funded by
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Postdoc position to support international research and capacity-building projects employing elect...
ground-based transient electromagnetic (TEM) methods. The position is part of a Danish Ministry of Foreign Affairs funded project titled “Scaling Up Electromagnetics Surveys for Large-Scale Hydrogeological
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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-epidemiological methods on human study populations to identify molecular mechanisms that can serve as future targets for early detection, prevention, and treatment. Our lab is at the forefront of Alzheimer’s
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approaches Develop models to address the dynamics of electrons, excitons, and photons in atomic-scale optical environments (e.g., quantum master equation, Lindblad formalism) Integrate results of ab-initio
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SGS modeling) and RANS. This includes proposals of new methodologies, implementation and validation of the methods using the simulation and experimental data, reporting of the results, and dissemination
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations