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Field
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. The robotics group at NMBU conducts research in two key areas: (1) mobile robotics for agriculture, and (2) manufacturing and food processing. This PhD position falls within the first area, targeting the design
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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 We invite applications for a PhD position in hardware-aware deep
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How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780
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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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contributing to the life cycle assessment (LCA) of the process; +Processing and analyzing data (Excel, Origin, ChemDraw, and dedicated instrument software); +Presenting results to the supervisory team during
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, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department
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responsibilities and tasks will include, among others: Development and testing of a quantum time transfer experimental system. Firmware and software for time tagging and time data processing. Author scientific
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, and second-life applications, ensuring both scientific impact and industrial relevance. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part
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Location: University of Nottingham, Faculty of Engineering Start date: 1 October 2026 Application deadline: 14 May 2026 Project type: Collaborative PhD studentship (joint Academic-Industry
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Integrating Multi-Modal Radiomics and AI Co-Pilot Software to Accelerate Cancer Detection and Improve Treatment Decision-Making DoS: Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk) 2nd