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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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Supervisor(s): Prof. Chaoying Wan, Prof. Steven Brown (Physics department) Stipend: UK or international Duration: 3.5 year Funding Eligibility: UK or international Start Date: 1st November 2026
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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applicants must demonstrate that they have access to sufficient funds to cover this fee differential throughout their period of study. Evidence of funding must be uploaded as part of the application process
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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closely with process, PDK, and PIC design teams and contribute to Europe’s photonics ecosystem through involvement with PITC, JePPIX, and PIXEurope partners Photonic integrated circuits (PICs
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 18 hours ago
*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are invited to self-declare when applying to this hiring process. City: Within a
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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understanding with language-based reasoning. Process micro-facial expression data more efficiently in computer vision and vision language models. Create a language-guided representation for subtle facial motion
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to work in the UK. We are unable to offer visa sponsorship for this role. Candidate requirements Applicants should have a strong undergraduate (ideally Master’s) degree in computer science, physics