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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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the doctoral thesis being approved Fluent oral and written communication skills in English Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant
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degree (master level), it must be equiva-lent to a master in the Norwegian educational system Documented proficiency in scientific programming (e.g., Python) Documented proficiency in deep learning
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the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming is required Experience
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environment. Experience in analyzing and working with climate or Earth System models. Technical skills in programming as well as in graphical and statistical tools (e.g. python, R). Willing to exchange with
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of four years in the Norwegian educational system Strong competence in quantitative methods, modelling, or data-driven analysis Solid programming experience (e.g. Python, R, MATLAB, GAMS or similar
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, and/or statistics is also required Solid knowledge and experience in Python programming Experience with frameworks like TensorFlow or PyTorch is essential Fluent oral and written communication skills in
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(e.g., carbon, nutrients, oxygen) or transient tracers such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long
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datasets), including spectra, flow statistics, and diagnostics relevant to helioseismic inference. Development and maintenance of robust, reproducible analysis workflows (Python and/or Julia-based; HPC