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YBDTP you'll benefit from a regional doctoral training programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological
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Do you want to be part of an industry-oriented project and work on flexibility estimation from industrial sites? The envisioned research is part of the research program Intelligent Energy Systems
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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innovation programme under the Marie Skłodowska-Curie Action Doctoral Networks (HORIZON-MSCA-2022-DN-01) scheme, grant agreement number: 101119780. Project Description: The DC will be trained in advanced
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to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands
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in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University
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international research networks. Training The researcher will gain interdisciplinary training in microbiology, marine ecology, plant pathology, molecular biology and restoration science, with a strong emphasis on
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efficient, adaptive use of multistable networks, offering an alternative to energy-intensive digital systems with rigid bits and separated memory and computation. In this project, we aim to design and realize
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Quantum Systems (PhoQS), experts from the fields of physics, computer science, mathematics, electrical engineering and information technology conduct joint research on integrated photonic quantum