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Field
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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 English
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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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, - Proficiency in R and/or Python programming languages, - Experience working with large medical-administrative databases would be appreciated (SNDS, PMSI), - Excellent command of scientific English (written and
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: Utilize methods such as machine learning / predictive modeling to identify trends or high-risk groups, and develop interactive dashboards (e.g., Tableau, Power BI, R, SAS) to communicate findings. Open
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data collection, image processing, and statistical analysis
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epidemiologic and biostatistical training and be proficient with R-statistical software. Prior experience with single omics data and multi-omics integration (e.g., DNA methylation, transcriptomics, proteomics
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Preferred Qualifications: Experience with neurorehabilitation or motor recovery research Proficiency in programming and data analysis tools (e.g., MATLAB, Python, R, SPM, FSL) Familiarity with human subjects
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proteomics specialists and R&D teams. The successful candidate will gain valuable experience at the interface of academic and industry-driven proteomics innovation. Recent related references: Lesur A, Schmit
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in Translational Medicine Knowledge of statistics and experience with software such as GraphPad, R Experience and knowledge: Required: Minimum of 3 years of experience in metabolism research Prior