53 data-science-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Sweden
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spatial data science perspectives will be used to organise and interpret the evidence, identify geographical and methodological gaps in existing research, and develop a coherent knowledge base to support
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Postdoc who can perform high quality statistical research. Apply August 31, 2026, at the latest. The Department of Statistics conducts research within the field of statistics and data science, including
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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, statistics, medicine, or a related field. This requirement must be met at the time of the employment decision. Training in statistics, data processing, and/or bioinformatics is expected. Merits We are looking
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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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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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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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of Experimental Medical Science within the Faculty of Medicine is currently conducting research on the mechanisms underpinning the epigenetic control of the repetitive genome in stem cell models of early human
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The postdoc will be employed in the division of Engineering Logistics, Department
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of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct