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, remote and cloud-based MS data, including annotation libraries as well as raw MS data. Support for, and integration of, established and upcoming MS data file formats (mzSpecLib, mzTab-M 2.0
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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects
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valid identity document. Selection process By qualifications as expressed in Annex A (maximum 30 points) and interview (maximum 70 points). The results of the selection are based on the sum of the points
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