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translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written and spoken English
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). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam. Desired qualifications: Strong interest in or prior experience with
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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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with analysis of time-series of neural data Proficiency in programming custom analysis pipelines (e.g. Python, MatLab or similar) Excellent written and oral communication skills in English. In addition
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, particularly in Python Written and spoken English proficiency. International candidates that are not exempt from the English language requirements pursuant to the guidelines of the Norwegian Agency for Quality
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Programming and data analysis in Python Language requirement: Good oral and
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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particular handling of scientific collection data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary