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Python and/or R • Experience with automation and workflow technologies • Interest on environmental genomics and microbial ecology Qualification requirements Appointment as Researcher requires
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systems Software engineering Good analytical and mathematical skills. Experience with scientific programming or software engineering (e.g., Python, C/C++, Rust, or similar). Experience in industry projects
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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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package is not required, but experience with one or more computational environments, such as MATLAB, Python or similar tools, will support your work in the project. Knowledge of Power-to-X, electrolysis
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of Copenhagen. For more information on the Department of Biomedical Sciences and the Lubberding group, visit https://bmi.ku.dk/english/ and https://bmi.ku.dk/english/research-divisions/integrative-circulation
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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Compagnucci at [email protected] Application Upload your English application with a cover letter, CV, diplomas, enrollment certificate and a transcript of your grades, online via the website https
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this advertisement. Please read more here: For tenure-track assistant professors: https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/kriterier-for-meritering-maj-2026
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of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews will be held on week 41-42.