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on experience with acquisition and analysis of human EEG and imaging data Proficiency using standard computational tools and skills with computational scripting (Python) Documentation of strong verbal and written
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on the public defence of the doctoral thesis being approved. Strong quantitative and computational skills are required for this position. Applicants should be proficient in R, Python, or equivalent statistical
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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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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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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
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of results_0.pdf to calculate your points for admission. Applicants are expected to have: Good programming skills, preferably in Python Ability to develop and implement computational methods Ability to work
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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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