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research excellence. This position is ideal for applicants interested in logic, formal descriptions, software engineering, and programming. This PhD project focuses on developing a model-based and knowledge
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credentials. Required qualifications: A master’s degree or equivalent in engineering, environmental sciences, environmental engineering, data science, systems modelling, applied mathematics, or a closely
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physics Solid programming skills Desired qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model
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skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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Sipskompetanse 29th March 2026 Languages English English English Faculty of Science and Technology PhD Fellow in Multi-Hazard Early Warning System for Critical Underwater Infrastructure Protection
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. This position is part of the DRIVE project, funded by the Research Council of Norway (RCN) (2026-2030), focusing on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The DRIVE
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. Collaborate with partners in signal processing and machine learning to link physics-based models with data-driven algorithms. Participate in joint research activities, publications, and dissemination through
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technologies such as AI-driven technologies, including social and assistive robots might challenge the current practical, ethical, and legal existing infrastructures, or models around the integration of welfare
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. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene