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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Field
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, or improvement projects. Competence in programming and analytical tools (e.g., R and Python). Experience with Principal Component Analysis (PCA) and cluster analysis in health research. Proficiency in English
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programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates must have excellent interpersonal and communication skills. Personal suitability and an
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(if applicable) Link(s) to public GitHub (or similar) repositories or other code portfolios demonstrating relevant programming experience (e.g., in C++, Python, or Java) (if available) If the thesis has been
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relevant programming experience (e.g., in C++, Python, or Java) (if available) If the thesis has been recently submitted, a draft may be attached. Names and contact information of three relevant referees
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Drilling. Desired skills: Machine Learning and Artificial Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral
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, or improvement projects. Competence in programming and analytical tools (e.g., R and Python). Experience with Principal Component Analysis (PCA) and cluster analysis in health research. Proficiency in English
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Experience with R, Python, image analysis, or genetic data analysis (GWAS) is an advantage Motivation to work in interdisciplinary and international research environments You need to: Be able to work
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animal surgery is a major advantage. Experience with advanced live-cell light microscopy will also be considered a major advantage. Data Analysis: Experience with programming (for example Python/Matlab
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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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, or the application of machine learning to registry data is highly valued. Experience in statistical analysis, including the use of statistical software such as STATA, R, Python, or SAS, will be viewed positively