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learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data preparation and analysis A track record of peer-reviewed research
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programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the appointee, not the position’s principal teaching focus. This is not a position
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Excellent written and spoken English skills The following will be considered an advantage: Programming and data analysis skills (e.g. R, Python, or equivalent tools) Good written and spoken Finnish skills
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, or other omics data analysis approaches Programming skills in R, Python, or equivalent Ability to work independently while flexibly contributing actively to an interdisciplinary research team
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serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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Reality (VR) environments is also considered beneficial. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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and/or Python; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing, analysis and interpretation of omics data and a strong interest in
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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(e.g., laser scanning, optical satellite imagery, radar, UAV, or aerial imaging). Strong programming and data analysis skills (e.g., Python and/or R), as well as proficiency in GIS software and
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an advantage skills in electronics, e.g., RF electronics, MRI coil design, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D