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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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adapted to the interests and strengths of the chosen applicant. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall
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before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python
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skills with Python. Desirable qualifications: Previous experiences with kinetic Monte Carlo. Previous experience with machine learning applications in molecular modelling, including experience with
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, 3DExperience) Basic programming experience in control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Merits for the position include: Experience in friction stir welding experiments
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and in cell culture. Proficiency in R and/or python. Practical experience in analytical methods including multiplex flow cytometry and cytokine assays, as well as associated data analysis. Practical
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Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
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. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall biochemistry Plant in vitro culture work In situ microscopy and
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher