200 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in Belgium
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activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with computer vision is a plus. I am proficient in Python and am
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and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices. Support grant applications
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information, please contact Prof. Ruth Heying, tel.: +3216340638, mail: ruth.heying@uzleuven.be or Prof. Sarah Thomis, mail: sarah.thomis@uzleuven.be Where to apply Website https://www.kuleuven.be/personeel
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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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LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity of NamurCountryBelgiumGeofield Contact City Namur Website http://guirkinger.com/ Street Rue de
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processes in the team (e.g., setting goals, coaching, evaluation). You create a strong team atmosphere and foster opportunities for knowledge sharing and cross‑learning. You interact closely with your peers
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experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices
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possible How to apply? Please complete the online application procedure (https://jobs.vib.be/apply/131864 ) and include: a detailed CV, including concrete experience a motivation letter describing your
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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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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