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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | about 6 hours ago
for the fast-track option. Your application Are you interested? We invite highly motivated students with a strong commitment to basic science from all over the world to apply to our international program
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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academic cleanroom in Europe with extensive expertise and specialised facilities for nanofabrication of quantum devices. You will join a diverse and enthusiastic team of academic staff, PhD students and
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Quantum computers are on the horizon that could break the encryption protecting our banks, hospitals, and national infrastructure. This fully funded, part-time PhD studentship offers the chance to
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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Are you passionate about building an entanglement-based quantum internet? In this PhD project, you will design an entanglement source, a routing architecture, protocols, and set up a testbed that
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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the PhotonDelta and QuantumDelta growth fund program. Besides research you will also contribute to education within our group and the Department of Electrical Engineering and mentor BSc and MSc students during
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the Quantum Nano-Optoelectronics led by Prof. Dr. Frank Koppens. Our PhD-program brings together top-level training and teaching for young scientists , benefiting from the extensive course offerings of local
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for an enthusiastic student with a first-class or 2.1 Bachelors, or Masters degree in physical science or engineering disciplines and a strong interest in computational materials modelling. Experience with molecular