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Field
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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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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 through out
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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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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of three work years of the total term period must be dedicated to doctoral work.) For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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? Job description If this question sparks your interest and you are motivated to pursue a PhD in circular consumption niches and the transition to circular consumption, you might be our new colleague
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to the requirements of the position. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information. You must
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme. Good oral and written presentation skills in English. You need strong skills in
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level, from the quantum processor to the quantum-classical interface all the way to quantum algorithms and applications. The vision of the programme is to enable the development of fault-tolerant quantum