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microbiology, or environmental microbiology. Strong programming/computing skills (e.g., Python and/or R), Unix/Linux command line, and good practices with Git and reproducible research. Experience using
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, or Python. Active participation in international collaborations and publications in high-impact journals. Motivation and ability to contribute to proposal writing and the development of R&D projects funded by
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Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any
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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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skills (preferably Python), for example with contributions to open-source projects, with an active Github account. Documented fluency in English and ability to work in an international environment. Nordic
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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algebra, and/or statistics Documented knowledge and experience in Python programming Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
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exploring both theoretical and practical aspects of differentially private computations. Advanced programming skills, preferably experience with programming in Python. Ability to perform research in a cross
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good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB programming languages would suit the project requirements
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doctoral degree. A strong background in computer science, and good programming skills, tailored to meet the needs of the Department of Physics at UiT. Experience with Fortran, Python and/or MATLAB