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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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frequency domains; comfort with a wide range of numerical and analytical methods for electromagnetic characterization of lines and cables (characteristic matrices, FEM, MoM-SO, frequency-dependent earth
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Job Status Full-time Offer Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-25 Is the Job related to staff
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Offer Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-69 Is the Job related to staff position within a
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Offer Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-8 Is the Job related to staff position within a
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a EU programme Reference Number BAP-2026-72 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project investigates vibration-based methods for monitoring
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Deadline 15 Mar 2026 - 23:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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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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Deadline 2 Mar 2026 - 23:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Offer Starting Date 15 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by