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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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Energy Conversion (Germany). PI: Prof. Dr. Sigfried R. Waldvogel University of Göttingen (Germany) PI: Prof. Dr. Lutz Ackermann Lodz University of Technology (Poland) PI: Prof. Dr. Anna Albrecht University
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+ A €7,000 grant to cover expenses arising from research stays at R&D centers and from tuition fees for doctoral studies Entitlements and other benefits: https://www.bcbl.eu/en/join-us/what-is-like
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) is a plus LanguagesENGLISHLevelExcellent Additional Information Benefits Salary: 24.348,77€ annual gross + A €7,000 grant to cover expenses arising from research stays at R&D centers and from tuition
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using statistical software (e.g., Stata, R, SAS) and willingness to further develop their analytical and statistical skills. A high degree of self-motivation. Study load: Students are expected to enrol
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC
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the possibility of linkage to administrative registers. The role of the candidate will focus on developing reproducible code (Stata, R, Python) to curate raw accelerometer data and derive metrics that characterize
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
position within a Research Infrastructure? No Offer Description Applications are open for 1 Research Studentship(s), within the framework of project/R&D institution SignPain/ITI, PTDC/PSI-GER/2615/2021
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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machine learning. Strong proficiency with R/Python and machine learning frameworks (e.g., PyTorch, TensorFlow). Prior experience with workflow management tools (e.g., Snakemake, Nextflow). Familiarity with