198 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" uni jobs in Belgium
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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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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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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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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
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guaranteed. Given the real-time nature of these large complex infrastructures, machine learning techniques can complement more deterministic algorithms to guarantee a reliable operation of the system
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Software Testing and Analysis Machine Learning and Large Language Models Web Systems and IoT Systems The candidate must possess strong programming skills in Java or Python and is willing to learn all
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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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experience in the field of marine biology/ecology in the field and demonstrate a good understanding of marine and coastal ecosystems and related environmental challenges. Demonstrate strong ability to teach