79 programming-"the"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"INSA-toulouse"-"https:" positions in Sweden
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Previous experience in the operation of accelerators in synchrotron facilities is a considerable advantage You enjoy programming, and have experience with Python, and/or Matlab You perform well as a shift
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and in cell culture. Practical experience in programming with R. Practical experience in analytical methods including multiplex flow cytometry, as well as associated data analysis. Practical experience
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, and doctoral students. The department offers extensive doctoral education and coordinates two international Master's programmes as well as one Bachelor's programme. It has an established reputation
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and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research
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to the Master's Programme at the Umeå School of Architecture, including guidance and responding to questions related to the programme and the application process. Other tasks and duties may be assigned
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you must: Be enrolled in years 4 or 5 of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in
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related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological
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and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a
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) Experience in programming (Python or MATLAB) Strong analytical and problem-solving skills Excellent command of spoken and written English Ability to work independently and collaboratively in
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programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git and GitHub Familiarity with best practices in reproducibility and open science