204 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" uni jobs in Belgium
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Kathleen Mc ENTEE (Phone : +32 2 555.61.61 – E-mail : Kathleen.Mc.Entee@ulb.be ). Your application will consist of a Curriculum Vitae (if you wish, a standard CV can be downloaded from the website: https
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. Pascal LAURENT (Phone : +32 2 555.67.80 – e-mail : Pascal.Laurent@ulb.be ). Your application will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https
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2 555.67.89 – E-mail: catherine.ledent@ulb.ac.be ). Your application will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents
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will consist of a Curriculum Vitae(if you wish, a standard CV can be downloaded from the website: https: //www.ulb.be/fr/documents-officiels/emplois-academiques-et-scientifiques-cv-type) and a document
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: https: //www.ulb.be/fr/documents-officiels/emplois-academiques-et-scientifiques-cv-type) and a document completed using the template available at this URL address (https://www.ulb.be/fr/documents
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‑on experience with common machine learning / deep learning frameworks (eg. PyTorch or JAX) applied to biological or structural data. Solid Python programming skills, with experience building maintainable and
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of Economics and Business and KU Leuven. You have an outspoken interest in fundamental scientific research and perceive opportunities for valorization of research findings and applied research. You teach courses
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as well as to applied research. You teach courses in the field of actuarial sciences on the Leuven campus. When defining the teaching assignment, your profile and experience will be taken into account
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Biology Scientist in Single-cell omics & AI to support the valorization trajectory of a computational platform combining single‑cell omics, AI machine learning, and translational biology. The role involves
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, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and