41 learning "https:" "https:" "https:" "https:" "https:" "DAAD" Postdoctoral positions in Belgium
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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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are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential impact on public health
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of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models
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package contains: We are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential
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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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strongly interdisciplinary background, being used to collaborate with engineers, clinicians… You have experience in medical image analysis and processing, computational modelling, AI/machine learning, and
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to the valorisation and societal impact of your research. Teaching: You will teach the Strategic HRM course at the Brussels campus and the Personnel and Organisation course at the Antwerp campus. You hold a doctoral
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learning and deep learning techniques, and relevant libraries such as scikit-learn, PyTorch, transformers, LangChain, etc. Familiarity with version control (Git) and DevOps tools (Docker, Kubernetes, CI/CD
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applications for a project scientist (post-doc) position at the GeoHydrodynamics and Environment Research group (GHER, https://www.gher.uliege.be ) of the University of Liège in Belgium. The candidate will work