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100%, Zurich, fixed-term We invite applications for a PhD position at the intersection of quantum computing and artificial intelligence, focused on the challenge of advancing optimization through
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging" within the Photoacoustics & Ultrasound
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Program Description Master's or PhD students are invited to apply for research visit funding from the Thematic Program on Quantum Algorithms for Differential Equations (the "Program") taking place
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for accelerator operation. Position Requirements PhD completed in the past 5 years or soon-to-be completed in accelerator physics or a related field is strongly preferred. PhD graduates in other branches
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Chair of Biological Imaging 13.08.2026, Academic staff Join us in shaping the future of biomedical imaging We are looking for a curious and persistent PhD student (f/m/d) who wants to discover new
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conferences and/or research stays at foreign educational institutions Supervision of students and contribute to relevant teaching activities Mentoring PhD students, helping them with their research projects
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jul 2026 - 00:00 (Europe/Athens) Country Greece Type of Contract Temporary Job Status Not Applicable Offer Starting Date 1 Jan
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 2 months ago
. Responsibilities include the development and maintenance of scientific software tools, primarily in Python, for performance monitoring, anomaly investigation, and algorithm evolution. The role requires the ability
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. The role would involve optimizing an artificial touch sensor for use in detecting defects during composite layup, as well as developing algorithms and visualization tools to demonstrate its performance