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an individual research project, you will be responsible for setting up and evaluating data analysis, implementing models and networks, define optimal scientific protocols, and write scientific articles and
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-dimensional statistics, and optimization. Documented experience in working with biological data, especially genomics, or other types of high-dimensional data such as imaging. Excellent programming skills in
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artificial intelligence), exploring future skills, and optimizing equipment management. You will work in close collaboration with major industry partners to collect and analyze real-world empirical data using
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than 40 PhD students and postdocs. Research at the DSAI ranges from foundational methods in machine learning (e.g., optimization, bandits and reinforcement learning) to application domains in biophysics
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physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional
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having resided in the country of the host institution for more than 12 months in the last 36 months). Mandatory: Master’s degree in Systems Engineering, Control, Optimization, or related field. Strong