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Experience with R, Python, image analysis, or genetic data analysis (GWAS) is an advantage Motivation to work in interdisciplinary and international research environments You need to: Be able to work
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element methods. Knowledge of aluminium alloys Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision (if applicable). All candidates and projects will have to undergo a check versus national export, sanctions
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
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programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses or publication(s) The following qualifications will
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graphical and statistical tools (e.g. python, R). Willing to exchange with national and international project collaborators including potential research stays abroad. Very good co-operative skills, and the
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skills (e.g., R, Python) Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from
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degree have until June 30, 2026 to complete the final exam. Desired qualifications: Programming experience in Python/IDL/Julia, C/C++ or Fortran Personal suitability and motivation for the position
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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Arabidopsis thaliana or other plants Documented applied skills in molecular biology techniques (cloning, transformation) Documented applied skills in plant cell imaging Documented training in Python and/or R