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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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, leveraging existing literature and data from controlled experiments. The model will consider multiple photosynthesis parameters to predict microalgae growth. It will offer specific design criteria and
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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should possess an M.Sc./M.Eng. degree in one of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering or Computer Science/Engineering. Experience: The candidate
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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. ✔ Close supervision by leading experts in bioelectroanalysis: 250+ publications (85% in Q1, 80% in D1 journals) 5 international patents Multiple technology-based startups ✔ Multidisciplinary research
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) Research - Teamwork (Level 3) NRC-Wide - Client focus (Level 2) Competency Profile(s) For this position, the NRC will evaluate candidates using the following competency profiles: Research ; Technology
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of Mechanical and Aerospace Engineering and is available to UK students. The successful student will receive an annual tax free stipend set at the UKRI amount (£20,780 for 2025/26) and tuition fees will be paid
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. We seek to holistically address the multiple pressures that ships pose on the marine environment and bridge the gap towards environmental management and spatial planning. Read more here https