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Skip to content PhD student in Computerized Image Processing with focus on Applications in data-driven precision medicine Uppsala University Share: Facebook Twitter LinkedIn Email Application
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and the SciLifeLab. If you wish to know more about our research, team, or professional values, please visit: https://liu.se/en/research/cantu-lab and https://www.scilifelab.se/researchers/claudio
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, inklusive högupplöst kalciumavbildning. Analysera encells- och enkelkärne-RNA-sekvenseringsdata (scRNA-seq och snRNA-seq). Integrera data från olika genomiska modaliteter, inklusive spatial transkriptomik
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instrumentation. Develop methods to improve acute tissue slice culture, cryopreservation and distribution. Analyze the generated data, design and perform validations through tissue imaging and other
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spatial transcriptomics data and the integration of imaging modalities with transcriptomics. The researcher will also contribute to the computational analysis of cell-free RNA datasets in diabetes
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. We are looking for a highly motivated person with a passion for driving research development forward. The ideal candidate has a solid background in data analysis, excellent problem-solving skills
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of Biophysics, Department of Applied Physics, studies the physical mechanisms of infection. We are based at KTH and SciLifeLab in Stockholm ( https://hannebellelab.org/ ). We are seeking a PhD student
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open