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UNIX filesystems from the command line, working in conda environment, installation and implementation of packages from github, batch job submissions in clusters Further details The position is funded
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integration (up to 3 million cells) using deep learning-based approaches, hierarchical clustering, and cell type annotation benchmarked against published CRC atlases Deconvolution and TME characterization
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submissions in clusters Further details The position is funded (Salary) via the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year
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. For this purpose different clustering, encoding , and regression techniques will be used and combined. It will address research challenges in dealing with toxicity data, multidimetional HRMS data as well as decoding
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements