36 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" positions at SciLifeLab in Sweden
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of 3.3 billion SEK (about 350 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral
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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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large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with high-performance computing (HPC) environments Ability to work independently and in
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capabilities in Sweden. The program is funded with a total of 3.3 billion SEK (about 350 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young
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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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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass
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at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and
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purchasing of supplies. Perform sample preparation and extraction of samples following standard operating procedures (SOPs) for chemical exposomics. Contribute to regular inventory of equipment and chemicals
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to achieve broad applicability and high reproducibility. You will have the opportunity to apply this novel approach to explore pressing biomedical questions and leveraging this knowledge to advance treatments
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operation of high-end cryo-EM instrumentation for data collection and analysis (either single particle cryo-EM or tomography and subtomogram averaging). Ideally, the candidate will have experience volume EM