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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological
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-precision . The DDLS Fellow-programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the SciLifeLab Fellows program. The successful candidates will join KI and
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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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of large amounts of imaging data Communicate with other data generating platforms within the SciLifeLabs Integrated Data Service program Collaborate with national high-performance computing (HPC) resources
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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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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will be financial coordination of the newly launched KAW funded SciLifeLab Alpha Cell program as well as the EU MSCA SciLifeLab PULSE Post Doc program PULSE Postdoc program. About the Programs The Alpha
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other service environment with bioinformatics, genomics and interpretation of big data An advanced level of competence in the handling of common specialized bioinformatics tools and programs Intermediate