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to a Master's degree within biomedicine, including at least some aspects of engineering and mathematics Experience and interest in research within the intersection between biomedicine and mathematical
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quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Building quantitative models: Using high-throughput binding data
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] Subject Areas: Machine Learning Complex Systems Theoretical Physics / Statistical physics Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required