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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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learning algorithms, to support decision makers under uncertainty. VUB team:Prof. dr. Ralf Vandam (AMGC), Prof. dr. Pieter Libin (FLAIR) Within the ARCHAI project, you will coordinate the collaboration
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The Faculteit Letteren en Wijsbegeerte, Department History, Archeology, Arts, Philosophy and Ethics, Research Group Archaeology, Environmental changes and GeoChemistry is looking for a postdoctoral
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of programming and implementing both back- and front-end solutions, using (open source) APIs. Evidence of being able to acquire additional funding (projects/scholarships) is a strong plus. You are willing to work
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hold a PhD in machine learning, computer science, bioinformatics or equivalent. You combine strong analytical skills with the ability to work independently and lead collaborative efforts. You are a team
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students. YOUR TASKS Our research at BogaertsLab focuses on the cognitive science of learning and language. This position is part of the FWO-funded project “Growing a Statistical Mind: The Interplay Between
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exploratory basic research, which is also extended to practical studies, often in collaboration with different stakeholders within the field. This knowledge is transferred through the various programmes
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, which is also extended to practical studies, often in collaboration with different stakeholders within the field. This knowledge is transferred through the various programmes supported by the department