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educational system A scientific profile relevant for the nuclear medical applications research programme, as outlined above A solid background in scientific computing, including proficiency in Python
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position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate
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analysis Solid programming experience (e.g. Python, R, MATLAB, GAMS or similar) Interest in environmental risk, emissions analysis, and sustainability transitions. Ability to work both independently and
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: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with
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spectroscopy is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Programming and data analysis in Python Language
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Equations) Programming and data analysis in Python Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and
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. Desired qualifications: Strong theoretical and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian
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background in statistics (a minimum of 60 ECTS in statistics). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis