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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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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a
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analysis of such data will thus be a core activity in the doctoral program. Furthermore, performing flow cytometry analyses and cell sorting will be central and also immunological assays will be used
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the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs
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omics. To achieve this, the doctoral student will use and develop both computational and laboratory-based tools. The doctoral student will need a background that includes experience with both some
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The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational
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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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data on our dedicated high-security compute cluster Miarka at UPPMAX, as well as on local servers. Automation of data handling and integrating systems for laboratory tracking (samples, steps, reagents
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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