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master's level courses in machine learning and R programming during the autumn semester of 2025 (with a possibility of extension). The main tasks involve assisting students during lab sessions and possibly
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R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial
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, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA
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, religion, gender and ethnicity Demonstrated experience in planning, overseeing and conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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and/or R). Meritorious (considered a plus): Experience with proteomics and mass spectrometry workflows. Knowledge of mitochondrial biology or metabolism. Experience with Drosophila and/or mice
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Meritorious is if you have: experience with the statistics program R experience with various immunological methods such as flow cytometry and proliferation previous experience of working in a research group
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experiments is required. A strong record of peer-reviewed publications in relevant areas, as well as documented proficiency in R, GitHub, and related tools such as Shiny apps, is essential. Experience in
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with a strong quantitative interest and skillset. The position demands that you are experienced and effective working in Python, R or similar software. You have methodological experience and a strong
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: Bachelor's or Master's degree in statistics, mathematical statistics or medical statistics. Good knowledge and experience in statistical programming software (R, SAS, or Stata). At least three years of