11 algorithm-development-"the"-"The-Netherlands-Cancer-Institute" PhD positions in Norway
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supervised deep learning algorithms for 3D laser data from forests Developing self-supervised deep learning algorithms for 3D laser data from forests Expand for a wider variety of downstream tasks focused
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university, the internationally accredited registrar and classification society DNV, and Cancer Registry of Norway. You will be analyzing and developing algorithms for privacy preserving health registry data
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based in the Cryptology discipline of the Department of Information Security and Communication Technology. The candidate will be analyzing and developing algorithms for privacy preserving health registry
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Trondheim, Norway, but the Researcher-project is of both academic and industrial relevance, and it will therefore be developed in close cooperation between NTNU in Trondheim and the company Petronas, which is
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to develop intelligent systems that are both data-efficient and physically consistent. The successful candidate will contribute to advancing novel methodologies that integrate domain knowledge with learning
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”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work
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for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred
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24th October 2025 Languages English English English The Department of Computer Science (IDI) has a vacancy for a PhD Candidate in Information Infrastructure Development of Offshore Energy Hubs
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actors in Norway and be in a unique position to develop an attractive career either in industry or in research/Academia. Your immediate leader will be the Head of unit, Applied Information
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supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated electrification and increased use of the existing grid