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integration of charging systems with onshore grid infrastructure. This research is initiated by the R&D Centre MarTrans , and the successful candidate will be part of a vibrant community of PhD candidates, and
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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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analysis and ecological data, preferably using R or related tools. Good written and oral communication skills in English, and, preferably in a Scandinavian language In addition one or more of the following
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages
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); mapping of protein interactions; RNA mapping via in-situ sequencing; spatial metabolomics; RNA sequencing; as well as bioinformatics skills (e.g., R) for digital image analysis and advanced statistical
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well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and
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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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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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(e.g., Python, R, MATLAB) Background or interest in nature-based solutions and optimization techniques Experience in working with climate model outputs and scenario analysis is an advantage A proven