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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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Uppsala University, Department of Medical Sciences Are you interested in working close to cutting-edge research and supporting a broad scientific community? Do you thrive in a dynamic and forward
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located at SciLifeLab in Stockholm , in direct connection with NGI Stockholm . Description of the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial
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the platform of Proteomics at SciLifeLab (https://www.scilifelab.se/ ). The group also belongs to the Department of Protein Science at the School of Chemistry, Biotechnology and Health at KTH. Our focus is on
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program 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