81 programming-"the"-"DAAD"-"IMPRS-ML"-"PDI-Service"-"FEMTO-ST"-"https:" "Study Group" positions in Sweden
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who is highly motivated, ambitious, collaborative, independent and well-structured. Ability to plan experiments, work independently in the lab, and keep an organized record is highly desired Ability
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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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users and colleagues. Fluent knowledge of Swedish and English (spoken and written). Experience with MS Office programs. Meritorious Previous experience working in a cleanroom environment is not necessary
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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 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 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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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