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program for Data-Driven Life Science (DDLS) . The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools
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a research staff of 180, of which 65 are PhD students. More information about us, please visit Department of Molecular Biosciences, The Wenner-Gren Institute Project description Proteomics-driven
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of pancreatic cancer. This group is led by Associate Senior Lecturer Dr. Qiaoli Wang, as part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in
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, sampling, and genotyping Bioinformatic analysis of flow cytometry, mass spectrometry, and sequencing data Continuous compilation of results and presentation of data to collaborating researchers. The doctoral
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
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. More information For more information about the position, please contact: Maria Kamilla Larsen Research Coordinator, UmArts Phone: +46 (0) 760 361 816 Email: [email protected] We look forward
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the order of its four building blocks, we can make DNA and RNA fold into precise nanoscale machines, carry out logical computations, and store and read out information. We are looking for one or two
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experience. These questions serve the same purpose as a cover letter and help us assess your suitability for the position. More information För more information, please contact Katrin Holmqvist Sten, +46 90
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information about the department can be found on our website: Department of Medical translational biology (umu.se). Description of the project Levodopa remains the most effective treatment for Parkinson’s
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of marine ecosystem monitoring across spatial and temporal scales. The project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system