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-on experimental expertise. Your immediate leader will be the Head of Discipline. About the project Modern embedded systems increasingly rely on cryptographic implementations and hardware-supported security
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project Can AI interpret graphs like a human materials scientist that relates diagrams to composition temperature, pressure, synthesis, processing and uncertainty? The PhD candidate will develop and
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more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience
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of Oslo. Place of work is the Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The project focuses on developing probabilistic latent-variable methods for large
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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(CCUS), Power-to-X, energy storage, industrial symbiosis, and emerging energy-intensive infrastructures. This PhD project will investigate integrated energy and carbon management systems for future carbon
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Department. The workplace will be Trondheim. About the project The position is linked to the project LAIFA (Leveraging AI in Flow Assurance), funded by the Research Council of Norway and in collaboration with