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] Subject Areas: Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics Appl Deadline: 2026/01/08 11:59PM
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, statistics or fluid dynamics Excellent knowledge of statistics Proven knowledge of Python, R, Matlab or a similar programming language Experience with Linux/UNIX environments Excellent oral and written
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Application Deadline 8 Jan 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As Austria’s largest research and technology
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motivated and talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and
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talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and our team
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
the campus visit. Offer and Waiting List: Following the campus visit, selected candidates will receive offers to join the program. A waiting list will also be created for other strong candidates who may be
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, the PhD project will investigate immersion cooling in general, with the main focus on waste-heat upgrade via two-phase immersion cooling (2PIC), where the fluid boils directly on the chip surface and
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, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing