17 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"Prof"-"IMPRS-ML" "https:" positions at SciLifeLab in Sweden
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with the SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
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the Center for the Human Past. Thee research environment is international, with English as the working language. For more information on the Human Evolution Program, visit: https://www.uu.se/en/department
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Factory Service Hub is operated as a project under the Horizon Europe framework program and will include up to 50 AI experts and other staff working close to academic and industrial users across the EuroHPC
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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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. Participation in the VR/SciLifeLab infrastructure Chemical Biology Consortium Sweden (CBCS). Research group website: https://pharmb.io/ CBCS Website: https://www.cbcs.se/ Qualification Requirements Doctoral
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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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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
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program The SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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biophysics division of the department. The research group is associated to the strong microbiology research center in Umeå, the Molecular Infection Medicine in Sweden (MIMS, https://www.umu.se/mims/) and Umeå
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful