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Field
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Centre’s datasets, analytical methodology, and computational tools, including state-of-the-art data storage and research infrastructure, hosted at the USIT TSD service (https://www.uio.no/english/services/it
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(MATLAB, Python etc.) Personal characteristics Structured Thourough Trustworthy Innovative, creative and open minded Emphasis will be placed on motivation, personal and interpersonal qualities. We offer
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your points for admission. Emphasis is also placed on your: strong background in quantitative analysis and data manipulation proficiency with programming languages such as R, Python, MATLAB, or similar
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the following Advanced cell cultures (e.g. 3D cultures, organoids/tumouroids) High-content microscopy Data analysis in commonly used bioinformatics programming languages, e.g. python, R, etc If you are
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absorption or Raman Good programming skills (preferably Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education
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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS or similar frameworks. • Experience with simulation tools like
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research infrastructure, hosted at the USIT TSD service (https://www.uio.no/english/services/it/research/sensitive-data/index.html). The main purpose of the fellowship is to qualify researchers for work in
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expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi-energy systems from different