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programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses or publication(s) The following qualifications will
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educational system. Experience with analysis of electrophysiological neural recordings or human neuroimaging data Experience with scientific programming (e.g., Python, MatLab, R or similar) Excellent written
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, sensor technology, or laboratory/field experiments. Skills in programming (e.g. Python, R) and data analysis. Ability to prepare technical reports, scientific papers, and presentations. You need to: Be
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meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
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the EU AI Act, is necessary Familiarity with popular computer languages and popular tools such as Python, MATLAB, C++, along with a strong willingness to learn more, is essential PLEASE NOTE: For
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one or more relevant programming languages/tools (OpenFOAM, C, Python, Git). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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programming skills in C++ and Python experience with robot operating systems experience with simulators for robotic systems experience with implementation of real-life robotic systems strong skills in
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emphasized. dgood abilities in statistical software such as R or Python motivation and potential for research within the field professional and personal skills for completing the doctoral degree within