11 3-phd-positions-in-computer-science-artificial-intelligence PhD positions in Norway
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advertisement About the position Faculty of Environmental Sciences and Natural Resource Management (MINA) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position in ecology. The PhD
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Solutions is available at the Department of Building and Environmental Technology at the Faculty of Science and Technology . The PhD position is for a period of 3 years. Desired start date: 1. November 2025
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programme in Health Sciences is a prerequisite for the position. The final plan for organised research training must be approved and agreed no later than three months after taking up the position. Eligibility
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years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering (https://www.ntnu.edu/studies/phiv ) within three months of your employment
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be extended accordingly. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Educational Sciences within three months of your employment contract
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Work and/or research experience in machine learning, artificial intelligence, cable technology and/or
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. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in
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. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in engineering within three months of your employment contract start date, and that you participate in
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Design has a vacancy for a PhD candidate within the field
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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation