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has experience with programming, data analysis and visualisation using Matlab, R and/or Python. Research in a clinical setting means that flexibility with work scheduling is occasionally required (e.g
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and preferentially also in R, enabling you to contribute to the development of exercises from the beginning. Excellent communication skills in both oral and written Danish and English are a requirement
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employment The position is for a 2-year period starting 1 August 2025. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant
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metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis.Your job responsibilities As
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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for national and international research grants and make important research contributions. Thrive in both teaching and research roles. Establish effective industrial R&D collaboration. Prior experience in
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills
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Are you experienced in strategic budgeting and managing R&D investments? Do you enjoy setting up and driving financial processes like performance management, business planning and financial strategy
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for national and international research grants and make important research contributions. Thrive in both teaching and research roles. Establish effective industrial R&D collaboration. Prior experience in
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advantage Experience with statistical analysis is essential (i.e. use of R) You need to be able to work independently, as well as in a team Collaboration skills are necessary, as you will be working in a team