23 programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"U" "Prof" positions at SciLifeLab
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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
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strategy and organizational structure of the program in close collaboration with the Scientific Directors Prof. Jan Ellenberg and Prof. Mathias Uhlén. Coordinate and monitor research activities, recruitments
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skills (e.g., programming, statistics) or a willingness to develop them will be considered particularly important for this project. Admission Regulations for Doctoral Studies at Stockholm University. About
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of the results The position is within the research group of Prof. Ingela Lanekoff that strives to develop and establish new innovative method within the research field of analytical chemistry. The research is
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will be financial coordination of the newly launched KAW funded SciLifeLab Alpha Cell program as well as the EU MSCA SciLifeLab PULSE Post Doc program PULSE Postdoc program. About the Programs The Alpha
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or development connected to infection biology, immunology or epidemiology Advanced integration of multiple layers of molecular data sets Programming knowledge in R and/or other programming languages
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) Stockholm and supervised by Assoc. Prof. Stefania Giacomello. Supervision: Stefania Giacomello is proposed to supervise the doctoral student. Decisions are made on admission What we offer Admission
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information about us, please visit: www.dbb.su.se Project description We are seeking a researcher for a fixed-term project within the framework of a research program on allosteric modulation. The project
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multiple locations in Sweden. It serves as the bioinformatics platform at SciLifeLab, a national resource that facilitates research in molecular biosciences by offering access to state-of-the-art
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial