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educational system A scientific profile relevant for the nuclear medical applications research programme, as outlined above A solid background in scientific computing, including proficiency in Python
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programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch) Documented background in machine learning, mathematics, linear algebra, and statistics Fluent oral and written
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educational system. Experience with analysis of electrophysiological neural recordings or human neuroimaging data Experience with scientific programming (e.g., Python, MatLab, R or similar) Excellent written
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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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, sensor technology, or laboratory/field experiments. Skills in programming (e.g. Python, R) and data analysis. Ability to prepare technical reports, scientific papers, and presentations. You need to: Be
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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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meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
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frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis
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the EU AI Act, is necessary Familiarity with popular computer languages and popular tools such as Python, MATLAB, C++, along with a strong willingness to learn more, is essential PLEASE NOTE: For