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related technologies. Keywords: Particle accelerator, Beam-driven plasma, Low-energy beamline, High-intensity accelerator For information about our laboratory, please refer to the following link: https
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/InstituteKTH Royal Institute of TechnologyCountrySwedenCityStockholmPostal Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter
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, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected to assume a key role
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Location(s) Number of offers available1Company/InstituteUniversity of Aveiro; CICECO - Institute of Materials, University of AveiroCountryPortugalGeofield Contact City Aveiro Website https://www.ua.pt Street
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protecting nature-based assets in urban and rural environments Sustainable Materials and Resources: developing materials and technologies that reduce emissions and improve performance Sustainable Society
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/InstituteChalmers University of TechnologyCountrySwedenCityGothenburgPostal Code412 58StreetMaskingränd 2 Contact City Gothenburg Website https://www.chalmers.se/en/ Postal Code 412 58 STATUS: EXPIRED X (formerly
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Code8006StreetRämistrasse 101 Contact City Zurich Website https://ethz.ch/en.html Postal Code 8006 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 00246 - Human Genetics Location Campus City
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials