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the PhD). Other requirements include: Proven track record of publications in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication
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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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hardware-software stack — from signal acquisition and real-time processing to edge AI model deployment and system integration. Experience with implementing and optimizing machine learning models on resource
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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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, 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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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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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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Error for Off-Shore Wind Measurement Systems Dr Anthony Brooms Software Engineering, Machine Learning, Natural Language Processing, Large Language Models Dr Taolue Chen Static Program analysis and
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application at https://careers.software.imdea.org/ . Choose option PhD Student and use reference code 2026-01-phd-ossec. The recruitment process follows IMDEA Software Institute’s OTM-R Policy (Open
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SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and