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have academic qualifications at PhD level, for example within areas of epidemiology, health sciences, medicine or related field. Strong skills within applied statistics, R programming and experiences
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employment The position is for a 2-year period starting 15 July 2026. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant receptors
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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programming language (e.g., R, Python) Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil
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the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R
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, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets
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handling and maintenance of breeding blankets and other core components of fusion reactors You will be involved in project meetings, writing reports, R&D work, and project related tasks These activities will
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interest, and preferably very knowledgeable, in marine ecology Strong publication record in high-ranking journals Very good skills in scientific programming and related analyzing tools (e.g., R, Phyton
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analysing large health datasets, electronic health records, UK Biobank, All-of-Us, or similar sources. Experience with programming in R, Python, C++, Stata, SAS, or other programming languages. Excellent