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Field
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supervision and strong domain shifts across sensors and artworks. Pigment identification can then be derived from the unmixing outputs (endmember presence and abundance distributions), while optional auxiliary
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reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal gradients could induce localized therapeutic effects
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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24th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Distributed Machine Learning Apply for this job See advertisement This is
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Experienced researcher position. Part-time 40 hours/month distributed unequally, gross hourly salary of 240 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust in Online
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Experienced researcher position. Part-time 80 hours/month distributed unequally, gross hourly salary of 240 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust in Online
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and
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nanoagents leads to a global heating until a steady state is reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal
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distribution, telecommunications, transportation of goods and people, Industry 4.0, medicine, intelligent buildings, etc.), but at the cost of a drastic increase in the complexity of the associated design
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC