27 evolution "https:" "https:" "https:" "https:" "Foundation for Research and Technology Hellas" positions at Czech Technical University in Prague
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development of a system where electrochemistry will be combined with liquid-liquid extraction and flow radiation detection. Secondment opportunities University of Oslo, Department of Nuclear Chemistry, 3-4
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curvature and their differentials. The research in progress is carried out for the problems of pure advection used for fluid-component tracking, for the problems of curvature-dependent evolution up
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details https://physics.fjfi.cvut.cz/index.php/en/study/mathematical-physics Work Location(s) Number of offers available1Company/InstituteFaculty of Nuclear EngineeringCountryCzech RepublicCityPrague
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a detailed study of scintillator material properties to better understand the limits of current detector systems and accelerate the development of next-generation technologies with impact across HEP
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fitting method has to be implemented, e.g. using KAN neural networks. Note that this call is only for funding. Students also have to apply to our PhD program (Nuclear Engineering, see details at https
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for additional job details https://physics.fjfi.cvut.cz/en/ Work Location(s) Number of offers available1Company/InstituteFaculty of Nuclear EngineeringCountryCzech RepublicCityPrague 1Postal Code110 00Street
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Application form should be filled and all required documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Website for additional job details https://www.fd.cvut.cz/en
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applications of quantum networks along several possible lines: development of new quantum algorithms targeting various platforms, including qubit based and optical systems adaptation and generalisation of known
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Institute https://cmi.gov.cz/?language=en Co-supervisor: Ing. Jan Kučera, Ph.D. Where to apply E-mail holubjan@fel.cvut.cz Requirements Research FieldTechnology » Measurement technologyEducation LevelMaster
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Recognition and Classification is a project focused on the development of innovative approaches for real-time recognition and classification of construction and demolition waste, aiming to significantly