114 computational-physics "https:" "https:" "https:" "https:" positions at Chalmers University of Technology in Sweden
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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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» Materials engineering Engineering » Mechanical engineering Engineering » Other Mathematics » Applied mathematics Physics » Computational physics Researcher Profile First Stage Researcher (R1) Application
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, computational, and theoretical methods are developed and used to meet a multitude of research challenges. As a Doctoral student, you will be associated with one of our graduate schools . The Department of Physics
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for fast tune-up Implementation and benchmarking of quantum algorithms Qualifications We are seeking candidates with: A PhD in Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or a
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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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of Gothenburg. This includes basic courses in programmes for engineers, mathematicians, computer scientists and natural scientists, but may also include supervision of degree projects, teaching advanced courses
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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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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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offer a vibrant, international research environment and direct access to world-class nanofabrication facilities. At the Quantum Technology Laboratory , we explore how quantum physics can unlock radically
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux