458 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Belgium
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image/signal processing, particularly in computer vision.Strong programming skills and experience with at least one deep learning framework e.g. TensorFlow or PyTorchFamiliarity with machine learning and
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machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical
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@kuleuven.be or Prof. dr. Frank Verbruggen, mail: frank.verbruggen@kuleuven.be.In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our
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Universiteit Brussels, Brubotics and SUME. Brubotics (https://www.brubotics.eu/ ), is the robotics research group, and has for the last 10 years a research line on additive manufacturing, in particular in
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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for an experienced Machine Learning Expert to establish and run a