75 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Ghent University
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. Your core research tasks include: Developing advanced MBS/EHD models for drivetrain systems, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid
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-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a machine. We develop
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application by email, but apply online. Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https
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address. Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow-departme… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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Business Administration: see https://www.ugent.be/eb/en/information-for-phd-students
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via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/assistant-department-gre… Requirements Research FieldChemistryYears of Research Experience1 - 4
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engineering Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 31 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU