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information about us, please visit: The Department of Environmental Science . SciLifeLab houses national research infrastructures and has a mission to provide cutting-edge and enabling molecular technologies
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Uppsala UniversityDepartment of Materials Science and Engineering, 202100-2932 at the Division of Biomedical Engineering, Department of Materials Sciences and Engineering, Uppsala University
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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
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of an assistant professor. This appointment offers a unique opportunity to establish oneself as a researcher in the field of data-driven life science and includes access to a formidable package of resources
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community, bringing together groundbreaking life science technologies with data and AI expertise. We are currently launching a major recruitment call for outstanding staff scientists in areas such as
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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determined at the time of appointment. The position is time-limited to five years with the possibility for promotion to Senior Lecturer. Background Data-driven life science (DDLS) uses data, computational
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simulation of biological macromolecules, genomics data, and personalized medicine, including the use of language models. The role also involves organizing training and joint activities in AI for life sciences
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an internationally competitive level. The position will involve interactions with the Wallenberg Center for Molecular Medicine (WCMM) in Linköping and with Data Driven Life Science (DDLS) fellows locally and
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with data-driven life science. Job Duties Implement and adapt image analysis pipelines for microscopy, chemical imaging, and correlative multimodal workflows. Focus on robust, reproducible solutions and