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Field
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. or Doctorate in Physics, Optical/Photonic Engineering, Electronic or Semiconductor Engineering, Information Science, or closely related disciplines. Have relevant research or industrial experience in
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Engineering, Health Informatics, or a related field before starting the position. Strong experience in one or more of the following areas is highly desirable: machine learning, recommendation systems, natural
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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, please describe specifically how you have used agentic or developer-grade AI tools (e.g. Claude Code, Codex, Cursor, or equivalent) to conduct, accelerate, or scale your research. Entry-level use
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academically and professionally through organised research training. It is a condition that the person who accepts the position applies for and is granted admission to the Faculty’s PhD-program in Technology
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employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences, Scientific Field Renewable Energy Criteria
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Systems Safety Center of Excellence • Intelligent Transportation Systems Joint Program Office • Positioning, Navigation and Timing (PNT) & Spectrum Management • Office of Research, Development & Technology
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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to addresses the main priorities of the engineering net zero mission by accelerating deployment of a new technology that unlocks net-zero chemicals/e- fuels production and offers a route to valorise the CO2
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in Soil. Why Join Us? This is an opportunity to contribute to a pioneering research programme that combines carbon capture, circular economy, sustainable construction materials, and geotechnical