81 computational-physics-superconductor positions at Chalmers University of Technology
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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for extension. Qualifications To be eligible for this position, you should have a BSc in computer engineering, electrical engineering or engineering physics. What we offer Chalmers provides a cultivating and
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Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses
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microwave cavities We seek candidates with the following qualifications: PhD in Physics or neighbouring fields Excellent communication skills in written and spoken English Ability to program in high-level
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/device characterization. With our strong interest and expertise in the area of Photonics we are examiners and responsible for the course Optics for the bachelor students in Engineering Physics. What you
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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performance. Funded by the Swedish Research Council, this research is hosted at the Division of Chemical Physics. About us The research at the division of Chemical Physics at Chalmers University of Technology
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(Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or equivalent), obtained no more than three years prior to the application deadline (according to the current agreement with
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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, for example, a 4-year bachelor's degree is accepted. Previous coursework in cyber-physical systems, formal verification, computational logic, AI, or statistical methods would be beneficial but not required