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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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background in process or chemical engineering Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level You must have a strong academic background
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the Department of Computer Science and Technology at the University of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under
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(120 ECTS points) or equivalent in Food Science, Materials Science and Engineering, Packaging Technology, or a related field Documented experience with food and bio-based materials chemistry
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Research Studentship in DPhil in Engineering Science Industrial Doctoral Landscape Award (IDLA) in Gas Turbine Heat Management. 4 year D.Phil. studentship Project: DPhil in Engineering Science
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development
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in a related discipline. This project would suit motivated graduates from a wide range of STEM backgrounds—including environmental, civil, chemical or mechanical engineering, computer science, robotics