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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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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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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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, 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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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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. the light curves and spectra) of these stars analytically and through numerical methods, based on binary stellar evolution models. You will also investigate potential observable signatures of binary evolution
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Offer Starting Date 9 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-697 Is the Job related to staff position within a
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- 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 12 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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13 Dec 2025 Job Information Organisation/Company KU LEUVEN Research Field Architecture » Design Engineering » Communication engineering Engineering » Computer engineering Engineering » Electrical
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Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-579 Is the Job related to staff position within a