164 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions in Belgium
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within a Research Infrastructure? No Offer Description JOB REFERENCE: PA260501 Full-time academic position School of Engineering and Computer Science Field: Mineral Resources and geometallurgy Start date
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply until 17/02/2026 (DD/MM/YYYY) 23:59 (Brussels time) → Faculty of Bioscience Engineering
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17 Jan 2026 Job Information Organisation/Company Ghent University Research Field Chemistry » Inorganic chemistry Chemistry » Other Engineering » Other Researcher Profile Recognised Researcher (R2
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of Electromechanical, Systems and Metal Engineering Degree Master of Science in Electromechanical Engineering, Computational Engineering, Wind Engineering or similar. Occupancy rate 100% Vacancy type Research staff
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Department: Department of Bioscience Engineering Regime Full-time Let’s shape the future – Purple Engineering at the University of Antwerp Our consortium is seeking two full-time PhD candidates with
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opportunities for scientific leadership and industry engagement. Eligibility criteria Applicants hold a PhD in Computer Science, Software Engineering, Cybersecurity or a related field, have a strong background in
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activities of the ongoing FED-tWIN research program: “A Belgian greenhouse gas emissions Monitoring and Verification System” (BE-MVS), we are looking for a Scientist (M/F/X) This position is part of the FED
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science, computational biology, statistics, or a related field. Strong experience with large language models, including pretraining, fine-tuning, prompt engineering, and evaluation. Knowledge of modern deep learning
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Establish, organize, and maintain the new Technology & Wet Lab Unit, including equipment selection and procurement. Coordinate closely with computational teams to translate AI-driven hypotheses
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computational approaches and experimental biology is essential. We therefore aim to establish a dedicated Technology & Wet Lab Unit that will streamline the generation of high-quality training data and enable