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quality research. Teaching skills. Other qualifications: Practical experience in isolating immune cells and in cell culture. Proficiency in R and/or python. Practical experience in analytical methods
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diseases. Programming knowledge in R or Python is a requirement. The applicant should also have experience in machine learning. Experience in analyzing multiple MRI modalities such as sMRI, DTI and fMRI is
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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been completed earlier. Additional requirements Very good oral and written proficiency in English. Experience of programming, for example in Matlab, Python, Julia or R. Assessment criteria This is a
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. Active participation in major international consortia. Support for career development, conference travel, and long-term academic progression More information: https://www.scilifelab.se/researchers/simon
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to the subject area. The candidate’s doctoral degree should be primarily focused on computed tomography, image analysis or similar. Essential criteria are: Demonstrated experience in programming (e.g., Python, MATLAB
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epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in, further information can be found at http://ki.se/en/meb We welcome
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skills including programming (e.g., bash, Python, R) and command-line interface in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling
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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git
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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