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machine learning or computer vision models Technical competencies in one or more of the following: bio-digital systems, biodesign, applied machine learning, computer vision, computational biology, and/or
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to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a strong and relevant academic background from your previous studies and have an average grade
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme You
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models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer vision, robotics and radar, such as NeurIPS, CVPR, ICRA
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weaker academic background, you may still be considered if you can demonstrate that you are particularly well-suited for a PhD program. You must meet the requirements for admission to the faculty
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to NTNU's PhD programme and the Doctoral Programme of the Faculty of Engineering . Proficiency in spoken and written English. PLEASE NOTE: For detailed information about what the application must contain
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thesis and publicly defend it Complete the mandatory PhD programme at the Faculty of Medicine and Health Sciences, NTNU Be prepared for changes to your work duties after employment. Required selection
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education, for example through relevant work experience and/or peer-reviewed academic works. You must meet the requirements for admission to the faculty's Doctoral Programme, see Section 6-1 of the PhD
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engineering Computer science » Cybernetics Computer science » Informatics Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Oct
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe