149 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions 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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researchers from IDLab-AIRO (robotic experts) and imec. Your main tasks include: Reviewing literature on decentralized control frameworks in the domain and machine learning algorithms compatible with
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value continuous learning. You are capable of managing deadlines effectively. You help foster a pleasant working environment. Specific requirements for this position: You hold an internationally
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continuous learning. You are capable of managing deadlines effectively. You help foster a pleasant working environment. Specific requirements for this position: You hold an internationally recognised Master’s
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receiving constructive feedback, you value continuous learning. You are capable of managing deadlines effectively. You help foster a pleasant working environment. Specific requirements for this position: You
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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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to that present in the LMC is recommended, e.g. on AI/Machine learning in drug design, assay development, bioconjugate chemistry, fragment-based discovery, DNA-Encoded Libraries (DEL), sustainability aspects, etc
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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
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the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/post-doctoral-assistant
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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://academicpositions.com