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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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About us The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape
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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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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes
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research and chemistry (practical courses and other forms of active learning); you will also support the integrated bachelor course. You supervise students working on their master thesis. You will assist in
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organizes social activities, networking and upskilling events, and an annual PhD Symposium. Curious to know more? Learn all about what it means to start a PhD at VIB in our PhD Guidebook , written
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that truly understands its environment. You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream
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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