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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078v2) Start: Between 1 October 2026 and 1 July 2027
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9 Apr 2026 Job Information Organisation/Company IMEC Research Field Computer science Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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: Aeronautics Research (PhD) Research Topic: Please use reference number AE0084 Research Supervisor: Prof. Oliver Buxton Research Group: Aeronautics For further information: For questions about the project, email
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)’ working with Prof. Poppy Lamberton, and a wider international team from Cote d’Ivoire, Cameroon, Malawi, and the UK. You will lead the management and analysis of large datasets from multiple sources with a
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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domains (e.g., automotive, human-computer interaction), where efficient on-device processing is essential. We are looking for a highly motivated PhD researcher with an interest in hardware-aware
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data
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pandemic preparedness. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS
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Tsendbazar (land cover validation), Dr. Johannes Reiche (near-real-time monitoring), and Prof. Dr. Sytze de Bruin (spatial statistics). This PhD programme is also a part of PE&RC, a collaborative research and