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programming skills (e.g., Python) Previous experience with analyzing sequencing data Excellent communication abilities, and a collaborative mindset Meritorious for the position: Demonstrated work on developing
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Department of Clinical Microbiology The Dwibedi research group at the Department of Clinical Microbiology and the Laboratory for Molecular Infection Medicine Sweden (MIMS; https://www.mims.umu.se
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. Active participation in major international consortia. Support for career development, conference travel, and long-term academic progression More information: https://www.scilifelab.se/researchers/simon
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School of Engineering Sciences at KTH Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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, including deep neural networks and relevant frameworks * Documented several years of experience in development with Python and version control systems, e.g., Git * Documented experience in large-scale data
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. Preferred qualifications: Proven experience applying machine (deep) learning to imaging data. Strong programming skills, preferably in Python, and use of version control (Git/GitHub). Knowledge of open-source
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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information: https://www.uu.se/en/department/pharmacy/infrastructure/udopp The Department of Pharmacy at Uppsala University offers an interdisciplinary environment at the forefront of pharmaceutical sciences
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administrators. Each year, we process more than 60,000 samples and generate over 400 Terabases of data. More about our activities and services can be found at: https://www.uu.se/forskning/snpseq and https