161 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions in Belgium
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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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the Job related to staff position within a Research Infrastructure? No Offer Description JOB REFERENCE: PA260503 Full-time academic position School of Engineering and Computer Science Field: Security
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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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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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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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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
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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