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, genetics, or related field • Expertise in genomic data analysis, particularly single-cell RNA-sequencing and/or alternative splicing • Strong background in bioinformatics and programming skills (e.g., Python
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on processing and analysis of metabolomics and exposomics data, covering both method development and applications. Background The systems medicine research group at Örebro University (https://www.oru.se/english
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academic progression More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be
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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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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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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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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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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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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