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this project, we will focus on increasing the computational efficiency of interacting particle methods for Bayesian inversion when including model error in a multilevel hierarchy. As model problem, we will
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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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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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borders? Requirements Master’s degree in Chemical Engineering, Process Engineering, Computer Science, or related fields. Strong background in modelling, simulation, and/or machine learning. Experience with
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- 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number
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explicit in model design, we aim to improve data efficiency, computational efficiency, and domain generalization. The project will be embedded in the international research group EAVISE. The standard
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Programme? Horizon Europe - MSCA Reference Number BAP-2025-685 Marie Curie Grant Agreement Number 101226491 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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) Country Belgium Application Deadline 1 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme
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Belgium Application Deadline 12 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference