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Field
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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scientific computing, image data processing and numerical simulations would be most welcome You should enjoy working in an interdisciplinary, multinational research environment Being an enthusiastic researcher
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-driven methods. The role will focus on developing intelligent methods and operation-support tools for ATM applications, contributing to the advancement of research and innovation at Nanyang Technological
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. Procedure Reference: IT137 - 26- 34 I - Legal admission requirements I.I - Grant Recipients: The scholarship is intended for Masters in Electrical and Computer Engineering, enrolled in a PhD programme or a
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language teaching (mother tongue and second language) at UiT. It also offers PhD programmes in linguistics, cultural/literary studies, art history, as well as media and documentation studies. The project
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of Engineering and contribute to industry-engaged research in construction materials and modelling. This role offers a rare opportunity to work across laboratory experimentation, scaled-up prototype testing, and
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@ucl.ac.uk) or Prof Peter Lee (peter.lee@ucl.ac.uk). For application process queries, contact Ruikang Xue (ruikang.xue@ucl.ac.uk). About you You will have a PhD in a relevant discipline (e.g. computational
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1, 2026, with fellowships starting as early as May. Both QCB and the University of Illinois Urbana-Champaign are diverse, inclusive communities. Anyone with a PhD earned in the past 10 years, or have
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“Revealing Order in Organic Semiconductors with Cryo-Electron Microscopy.” The successful candidate will apply and develop advanced cryo-electron diffraction and imaging methods to uncover structure–property
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) and multimodal data integration models. • Conduct rigorous data processing, model training, validation, and explainable AI analysis. • Contribute to the development of harmonisation and bias-assessment