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minerals. The ideal candidate should have expertise in the electromagnetic, thermal, and mechanical design of advanced electric machines and understand the challenges associated with critical materials in
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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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research and innovation centre for nanoelectronics and digital technology. The worldwide team of 6,000 scientists, engineers, and innovators from over 100 countries, is driven by a shared passion to push
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307240/phd-candidate-in-machine-… Requirements
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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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‑situ digital working instructions (DWIs). However, current AR/VR solutions are typically developed as standalone applications, manually authored, and weakly connected to product‑level data. As a result
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. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread
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metabolite clearance. Current research areas include: • Glymphatic and lymphatic dynamics in brain injury, sleep, and neurodegenerative diseases • Traumatic brain injury mechanisms, including cerebral
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. COMPETE2030-FEDER-02230700, financed by the National Innovation Agency through Thematic Program for Innovation and Digital Transition (COMPETE 2030) of Portugal 2030, in accordance with the Research and
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between excited electronic states and the wildly vibrating atoms in these “soft semiconductors”. This can lead to the trapping of charge carriers and excitons (bound electron-hole pairs), shifted and