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processing methods, are typically designed for operation in static environments: a model is trained on a fixed dataset and subsequently deployed for inference. However, real-world environments are often
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science or biostatistics Ability to work independently and collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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School Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D data, geometric representations, or parametric
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to fluorescently labelled AP-L complexes and analyze how the cells accumulate and spread the complexes over time using live cell imaging, immunocytochemistry, ELISA, Western blot, electron microscopy and other
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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studies, comprising research (80–100%) as well as teaching and administrative duties (up to 20%). This doctoral project will investigate the physical processes controlling the stability, structural
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duties (up to 20%). This doctoral project will investigate the physical processes controlling the stability, structural integrity, and mass balance of Antarctic ice shelves, aiming to improve projections