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programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git and GitHub Familiarity with best practices in reproducibility and open science
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ability experience in R and / or Python. statistical knowledge and application experience handling large datasets Bash / Linux knowledge good experience of English in both spoken and written form self
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researchers with: A PhD in Medicine, Pharmacy, Biostatistics, Epidemiology, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R
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geocomputation and programming competence in a scientific programming language such as R, Julia, or Python. Demonstrated experience in data curation and management. Willingness to work as part of a
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case studies from these regions. Skills and proficiency in working with open-source software programs, such as QGIS and R, are advantageous, as well as demonstrated ability to contribute
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the time the employment decision is made good ability to develop and conduct research of good quality pedagogical ability experience in R and / or Python. statistical knowledge and application experience
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and statistics, including programming in commonly used languages such as R. A valid category B driver’s license, enabling fieldwork in Sweden and abroad. Very good oral and written proficiency in
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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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and energy research with world-leading industrial R&D&I projects. We address a wide array of experimental, computational, methodological and theoretical challenges, from fundamental physics research