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the link “Apply for this job”. The following documentation must be uploaded: official transcripts and diplomas master's thesis/major thesis certificates scientific work and R&D activities, as well as a list
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, emphasis will be placed on: Experience with relevant R&D work (publishing, methodological knowledge) in the field. Experience in organization and management in healthcare services. Themes and perspectives
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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for Bayesian inference Documented experience with programming in either Python or R. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent
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following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside
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degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R
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. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework for Bayesian inference Documented experience with programming in either Python or R. Foreign completed
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the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
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before commencement. Certificates Academic work and R&D activities, as well as a list of these The applicant is fully responsible for submitting complete digital documentation before the closing deadline
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate