20 next-generation-wireless-communication Postdoctoral positions at Chalmers University of Technology
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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research and education with a focus on wireless electronics, photonics, quantum technology, as well as bioelectronics and microelectronics packaging and integration within Chalmers University of Technology
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employment. Who we are looking for The following requirements are mandatory: To qualify for the position of postdoc, you must hold a doctoral degree, preferably in mechanical, materials or chemical engineering
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
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interdisciplinary and to learn new skills and to perform research in collaboration with others. We seek candidates with the following qualifications: A doctoral degree in a Bioscience-related field awarded
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Agency for Government Employers). Previous experience and expertise in any of the following areas is meritious: stochastic analysis, interacting particle systems, large deviations, stochastic control
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assure smooth collaboration within academia, industry and with society at large. Qualifications The following requirements are mandatory: To qualify for the position of postdoc, you must hold a doctoral
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postdoctoral scientists to work on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal we have a variety of projects related to: Simulation
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language, Chalmers offers Swedish courses to help you settle in. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Contract terms
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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