487 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Belgium
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groups within CCB (Learn more: Bioinformatics & AI ). Your Role We are seeking a skilled computational biologist to organize and deliver training on bioinformatics and AI for the CCB research community
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Sciences at KU Leuven (e.g. thesis supervision, exam grading, etc.) in Dutch and/or English. You hold a Master’s degree in Law, with a specialization in ICT law. You are eager to learn and fascinated by
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synthetic biology context (check our website at https://csb-bioport.mystrikingly.com/ and www.csb.ugent.be ). You will conduct research on aquaglyceroporin engineering and on the FWO-WEAVE project “Study and
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, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience with Git and empirical evaluation Experience
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research project. You will be given opportunities to participate at national and international meetings and establish your network. We offer a competitive salary (https://www.kuleuven.be/personeel/jobsite/en
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, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https
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, May 4, 2026, at 8:00 CET. If you are invited for an interview, we may ask you to present the results of a take‑home assignment. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs
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-of-the-art office in Ghent, with the flexibility to work one or two days from home How to apply Please complete the online application procedure (https://jobs.vib.be/apply/131347 ) and include a detailed
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-Development-Innovation is looking for a PhD-student with a doctoral grant. We invite applicants for a fully funded PhD position in machine learning, AI, and data science for public health within the Electronics
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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