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Field
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programming skills in Python; initial experience with machine learning frameworks such as PyTorch or TensorFlow Initial practical experience from a master's thesis, study projects, internships, or open-source
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, spanning sensing, nanotechnology, AI, and clinical medicine A supportive and inclusive research culture, underpinned by the Researcher Development Concordat (http://www.vitae.ac.uk/policy/concordat ). Close
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-Mechanical System Design, or a related field Experience with modelling of mechanical and hydraulic systems Ability to develop and analyze dynamic system models using MATLAB/Simulink and Python or similar tools
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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education. You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
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contributing both fundamental methodological advances and practical decision-support tools. Research environment The PhD position is part of the Norwegian Centre on AI for Decisions (aiD), https://aid-centre.no
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inference and econometrics is a plus · Programming skills in Python, R, or comparable languages · Strong programming skills in (iOS) app development · Excellent communication skills in English
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(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https