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? We urgently need breakthrough research in: recyclable & durable materials fast, data-driven surrogate models lifecycle-conscious design to reduce costs, increase reliability, and accelerate the North
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design. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above Design, test, and optimize novel
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to investigate how to design AI artefacts, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from
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building. This PhD fellowship is associated with the centre’s first research cluster, which focuses on Hybrid Intelligence. A key objective of this cluster is to investigate how to design AI artefacts
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25th April 2026 Languages English English English The Department of Marine Technology has a 3-year vacancy for a PhD Candidate in AI for marine systems design and operation Apply for this job See
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candidate in AI for marine systems design and operation, connected to the newly established Norwegian Maritime AI Centre. The position aims to advance how artificial intelligence supports design and
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, building ingredients, wettability, etc., and their interactions with water and gas species include CO2, Hydrogen and methane. Using atomistic modeling, the study will devote to design new hybrid porous
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devote to design new hybrid porous materials (exemplified by activated carbon and CSH) with nanostructure templates and tailored surface wettability for the purpose of enhanced physisorption and
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hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance, and deployability of deep learning models
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systems. At NTNU, the research will investigate hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance