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the analysis of large-scale omics data (e.g., proteomics, metabolomics, transcriptomics), including basic programming skills in R and/or Python Documented experience with exercise testing (e.g., testing
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
work. Some experience in modelling of composite materials. Some experience in programming (Python, Fortran, CUDA or similar). Some experience in fluid mechanics and biomechanics. Personal characteristics
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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knowledge of mountain environmental processes, alpine ecology, and/or vegetation change; experience from or competence in using R, Python or comparable programming and analytical tools; show evidence of being
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, preferably using MATLAB and/or Python. Good written and spoken English. Applicants not exempt from NOKUT requirements must document English proficiency (TOEFL or IELTS). TOEFL - Test of English as a Foreign
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. • Programming or scripting skills (e.g., R, Python, bash). • Excellent written and verbal communication ability in English. English requirements for applicants from outside of EU/EEA countries and exemptions
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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language
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. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer coding, such as R, Python
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is a requirement. Such experience may have been obtained through academic coursework, research projects, or professional employment. Experience with scientific programming using Python, R, Matlab