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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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systems, flow cytometry, and exosome research proficiency in R programming for statistical and bioinformatics applications, and practical knowledge of Linux environments experience in scientific writing
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. Proficiency with chemical analytical methods using LC-MS/MS, as well as strong skills in data processing using statistical computing and visualisation (MATLAB, R, Excel, etc.) are also essential. Additional
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LC-MS/MS, as well as strong skills in data processing using statistical computing and visualisation (MATLAB, R, Excel, etc.) are also essential. Additional merits include knowledge of remediation
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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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communication skills. Other experience relevant to the third cycle studies, for example professional experience. Other assessment criteria: Programming skills (e.g. Python, R) Experience working with Gram-positive
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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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and methods used for analyzing transcriptomic and proteomic data Strong skills in working with large-scale datasets, including relevant programming languages (eg, Python and R) as well as visualization
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assessments, or interventions. Furthermore, knowledge of qualitative methods, statistical methods and experience with relevant software (e.g. SPSS, R) and database management (e.g. Excel, REDCap) is an asset
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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