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Field
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datasets metabolomics or analytical chemistry microbial community analysis programming/scripting in R, Python, or similar languages systems biology or computational biology Knowledge of a Scandinavian
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programming skills in R, Python or equivalent scientific computing languages. Strong R skills are particularly relevant for this project. Excellent written and oral communication skills in English. Desired
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computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with Python · Experience with
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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of statistical theory and methods and core machine learning methods. Documented Python programming skills. Excellent skills in written and oral English. The candidate's research proposal must be closely connected
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computational workflows and statistical tools (R, Python, Bash). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have
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optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
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, such as longitudinal data, registry data, electronic health records, cohort data or trial data. Strong programming skills in R, Python or equivalent scientific computing languages. Strong R skills
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experience in scientific programing (using e.g., Python, Matlab, and/or Julia), as well as a strong interest in climate science and biogeochemical cycling. The candidate must have proof of excellence in
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with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases