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and no later than autumn 2026. Experience with Python programming or a comparable programming language. You must have a strong academic background from your previous studies and have an average grade
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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system modelling. Very good programming and modeling skills, preferably Python or a similar programming language. Work and/or research experience in a field related to the topic of this PhD
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criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP. Knowledge of or experience with semantic modeling, knowledge representation and automated
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of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code repositories Proven experience in machine learning method development Fluency in
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an advantage: Natural Language Processing; LLMs; R; Python. Experience with teaching and supervision will be considered an advantage. Very good skills in Norwegian or other Scandinavian language is an advantage
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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. Experience in analysing large environmental datasets using programming tools (e.g., Python, MATLAB). Applicants must be able to work independently and in a structured manner, and demonstrate good collaborative
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processing, software-defined-radio and similar A solid background in programming and signal processing (C, Matlab, Python, …) Knowledge and experience with embedded systems are a strong plus (C, FPGA
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience