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programming capabilities with ample experience from previous projects are a requirement. Strong experience with Python, data analysis, and visualisation techniques is a bonus. The results of this work will be
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. Flexibility and an interest in interdisciplinary research are considered strong assets. Other assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling
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engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong willingness to learn A genuine interest in
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in complementary methods such as ICP-MS, XRD, XPS, SEM, TEM, EDX Scripting in Matlab, Python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will
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programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS) Demonstrated skills in handling and analysis of large datasets Consideration will also be given to good collaborative skills, drive
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expected to learn basic R or python to generate plots and analyze data. Qualifications Requirements for employment are: You have deep knowledge of immunology including autoimmunity You have experience
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systems Programming skills in Python Familiarity with containerization tools (e.g., Docker) Fluent in Swedish (spoken and written) As a person you are collaborative, proactive, and adaptable, with a
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sequencing data, preferably single-cell RNA-seq and/or other omics data documented skills in programming or scripting, for example in Python and/or R experience using relevant bioinformatics tools
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written proficiency in English. Experience in data processing, statistical computing, and scripting (R, Python, matlab or similar). Demonstrated ability for proactive and independent work. In
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a