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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate to conduct research on Artificial Intelligence
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employment. Required selection criteria You must meet the requirements for admission according to Section 6-1 of the PhD regulations . You must have a relevant Master's degree in computer science or equivalent
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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7th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in High Performance Computing and Simulation Apply for this job See
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the exploration of techniques based on physics-informed neural networks and transfer learning. The PhD candidates will have the opportunity to be affiliated with the program BRU21 , with the IoT@NTNU, and with
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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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a prerequisite that you gain admission to the PhD programme in Architecture within three months of your employment contract start date, and that you participate in an organized doctoral programme
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16th October 2026 Languages English English English We are looking for a PhD candidate in Bridging Adaptive Planning and Human-Centred Design for Vulnerable Contexts Apply for this job See
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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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Requirements MSc degree (or near completion) in computer science, mathematics, artificial intelligence, or a closely related discipline. A strong foundation in machine learning, including familiarity with