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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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solid Python skills. Interest in computer vision, representation learning, concept drift, Statistical Process Monitoring (SPC/SPM), active learning/DOE, MLOps. Curiosity, independence, and excellent
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affinity with these fields. Prior experience with uncertainty quantification, computer vision and/or time series data analysis is a plus. I am proficient in Python and am familiar with data science and
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ZAP-2025-165 Is the Job
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ZAP-2025-168 Is the Job related to staff position within a Research Infrastructure? No Offer
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of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ZAP-2025-166 Is the Job
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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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of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ZAP-2025-164 Is the Job
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- 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference