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Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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of LNPs under various storage conditions, the aim is to develop formulations with both high performance and improved stability. The work includes the design and systematic screening of LNP formulations
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Information about the position Reference number REF 2026-0126 SciLifeLab (www.scilifelab.se ), established in 2010, is a hub for life science research in Sweden and a collaboration between Swedish
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at the Department of Environmental Science , the Department of Geological Sciences , the Department of Physical Geography or the Department of Zoology . Stockholm University is a leading European
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student is primarily expected to be comfortable with using and developing new machine learning models, specifically generative ones, and publishing the results at top machine learning venues. The project
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, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
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The Department of Biochemistry and Biophysics. SciLifeLab (SciLifeLab ) is a national center for molecular biosciences with a focus on health and environmental research. The center combines
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Taheri Lab and the Lundberg Lab, funded by the Digital Futures (DF). The position is based at KTH Royal Institute of Technology and SciLifeLab (Science for Life Laboratory). KTH is Sweden’s largest
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, it was designated the Swedish National Research Infrastructure for Molecular Life Sciences – an acknowledgment of its unique ability to enable scientific achievements far beyond the reach of any
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The Department of Environmental Science, ACES is one of the largest departments in the Faculty of Science at Stockholm University. The Department is divided into four units with more than 170