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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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proficiency, particularly in Python Experience with or strong interest in, Language models (SLMs/LLMs), Agentic AI systems, Deep learning architectures, Multimodal AI (e.g., text, time-series, sensor data
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and