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, artificial intelligence, food technology and sustainability from KU Leuven, ILVO and Artevelde University College of Applied Sciences. The PhD candidate will be responsible for:•Designing and developing
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new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
PhD project dedicated to advancing carbon capture technology. The core objective of your research will be to probe the electronic interactions between carbon dioxide (CO₂) and amine-based materials—key
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21 Aug 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Physics and Astronomy Research Field Computer science Engineering Physics Technology
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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of Science & Technology Austria (ISTA)CountryAustriaGeofield Contact City Klosterneuburg Website https://ista.ac.at/ Street Am Campus 1 Postal Code 3400 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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Electrical Engineering, Power Electronics, Power Systems, or a closely related discipline. Strong research background in power electronics, power converter design, converter control, and/or grid-connected
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professional experience): PhD degree in the field (discipline) of Food Technology and Nutrition or Biotechnology; documented scientific achievements demonstrated by at least five publications in international
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning