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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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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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Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with running snowpack and/or numerical climate models on for example High
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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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in English. Desired qualifications: Knowledge of computational methods and programming skills (e.g., R, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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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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dynamics of civil and marine structures experience in finite element analysis and ability to code in Python or similar software motivation and potential for research within the field professional and