149 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at Chalmers University of Technology in Sweden
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are in a position to build and operate large-scale quantum processors! Qualifications The following requirements are mandatory: BSc in Physics, Mathematics, Computer Science, or equivalent. Excellent
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physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations
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sustainable world. In the division of Computational Mechanics and Materials Engineering we foster an inclusive, friendly, and helpful work environment to which we welcome you to contribute. The division
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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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the technology and develop a minimum viable product for quantum computing applications. Who we are looking for You hold a PhD degree in Physics, Applied Physics, Nanotechnology, Microwave Engineering, or a related
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a
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Environmental science » Earth science Mathematics » Applied mathematics Physics » Acoustics Physics » Chemical physics Physics » Computational physics Physics » Other Researcher Profile Recognised Researcher (R2
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declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** URL to this page https://www.chalmers.se/en/about
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Take courses at an advanced level within the Graduate school of Physics (https://www.chalmers.se/en/research/we-train-new-researchers/graduate-schools/physics/ ) If you're offered a position, you are
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an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied