25 postdoc-computer-graphics Postdoctoral positions at Chalmers University of Technology in Sweden
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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
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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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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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intent to generate practical insights and solutions—particularly for startups or small- and medium-sized enterprises (SMEs). Main responsibilities Your major responsibility as postdoc is to perform your
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Join a young team with a strong national and international network in the field of the rapidly expanding area of metal additive manufacturing at Chalmers University of Technology ! This postdoc
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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methods, and magnetometry. Who we are looking for To qualify for the position of postdoc, you must hold a doctoral degree in Physics, Material Science, Aerosol Technology or another relevant field, awarded
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. Contract terms This postdoc position is a full-time temporary employment for two years. What we offer Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg
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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