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, including an independent project worth at least 15 credits, or have acquired substantially equivalent knowledge in some other way. The position also requires: good knowledge of physics, numerical methods
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work will include numerical modelling of flow and transport, analysis of uncertainties in model predictions, and development of efficient methods for evaluating their implications for geological
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postdoctoral position in materials theory. The Division of materials theory offers world-class research in solid-state theory, using both numerical and analytical methods. The research is focused on magnetism
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following areas is considered an advantage: formal methods, programming language theory or semantics, logic, automata theory, automated theorem proving, and quantum computing. Rules governing PhD
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desired Good oral and written proficiencies in Swedish is a merit. Experience in numerical modelling and programming as well as experimental work is a merit Experience from industry is a merit About
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synchrotron (DESY, Hamburg) – and gaining in-depth expertise in probabilistic machine learning, data assimilation, scientific computing and the analysis of electrochemical interphases. The core focus of the
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, practical experience with radiation detectors, detector electronics, or data-acquisition systems, theoretical modelling in nuclear physics, scientific computing involving large datasets from
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cryo-ET while contributing to the continued development of methods, workflows and infrastructure. The position provides substantial opportunities to participate in collaborative research, develop new
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modelling? Would you like to develop new methods for uncertainty quantification and apply these methods to large-scale clinical cancer data? Are you looking for an employer that invests in
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-free electrolytes based on salt melts. The methods are primarily molecular dynamics simulations and small DFT calculations, but the software COSMO-RS may also be used. The project combines computational