56 computer-science-intern "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at SciLifeLab in Sweden
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of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis
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Job description The Drug Discovery & Development platform at the Science for Life Laboratory (SciLifeLab DDD) is a national infrastructure for academic drug development with the task of translating
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to development activities in international projects regarding the management of genomics data and medical informatics where NBIS is active, in order to realize the visions of the 1+MG initiative (e.g., European
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Lund University, Department of experimental medical science Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students
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analysis and computational modelling. This position offers the opportunity to contribute to innovative experimental research within a dynamic and collaborative environment, advancing high-impact studies
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, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
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Uppsala University, Department of Cell and Molecular Biology Do you want to work on enabling groundbreaking, data-driven Life Science research in an international environment, supported by competent
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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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)toxicology. As an employee at the Department of Environmental Science you will be part of a dynamic environment with work being done in leading research areas and with a strong international profile. More
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes