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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
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validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic
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Reasonably Achievable) strategies, enhancing radiation safety. The goal of this project is to to make computational methods ready for official dosimetry, specifically for neutron, high energy and pulsed fields
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, Coastal Engineering, Mechanical Engineering, Hydraulics, Geosciences, or a related field Strong background in hydrodynamics, sediment transport, and numerical modeling Experience with computational tools
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generate triploid varieties. In this project, which is supported by the Bill & Melinda Gates Foundation, we will focus on the last step of this program by developing practical methods to induce diploid (2n
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-738 Is the Job related to staff position within a Research Infrastructure? No Offer Description QSP is
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the necessary theoretical support. Practical implementation of the developed methods is part of the project, and hence skills in computations and implementation (via codes written in open source software, such as
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interest in the research in the field of computational chemistry of prof. Jelle Vekeman from the Research group MOSAIC at the Department of Chemistry at the University of Antwerp. What we offer We offer a
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. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis that is part of
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processing. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis