13 machining-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at VIB
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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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analysis. Experience with machine learning. Basic understanding of immunology. Key personal characteristics You are enthusiastic and curious about scientific research. You like learning new
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Description We are looking for a highly motivated and talented machine vision / mechanical engineer to join our team at the VIB-UGent Center for Plant Systems Biology . The selected candidate will
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Description We are looking for a highly motivated and talented machine vision / mechanical engineer to join our team at the VIB-UGent Center for Plant Systems Biology . The selected candidate will
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning
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from empirical to machine learning approaches Experience in collaborating effectively with chemists and biologists Demonstrated track record of leading early hit finding and hit-to-lead programs