113 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" research jobs 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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their research within the ‘Medieval Writing Practices’ centre, one of the research clusters of the PaTHs Institute (Heritage, Transmission, Legacies). Useful links: https://www.unamur.be/fr/philosophie-lettre
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/postdoc-time-loops-29772… Requirements Research
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suite of technologies for studying protein aggregation, including advanced biophysical, ultrastructural, and cell‑biological platforms. Learn more about us on our website and don’t miss the laboratory
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on experimental data which you acquire. You publish the research results in scientific journals and present at international conferences You contribute to the supervision of master and PhD students At least 70% of
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25 Mar 2026 Job Information Organisation/Company University of Antwerp Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Industrial engineering
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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members undertake research in various fields of expertise. Selection process The application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios