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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
(such as JWST, ALMA, Europa Clipper) and to optimize the science returns of upcoming planetary exploration missions, a comprehensive molecular-level understanding of ice chemistry, spectroscopy, and
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Carolina is inviting applications of two postdoctoral associates in the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates
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Number req26804 Department Sch Mining Engr Mineral Res Department Website Link https://mining.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The School of Mining Engineering
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, they will be involved in: • the implementation, optimization, and operation of cryogenic devices and systems; • performing low-temperature experimental measurements; • the development and experimental
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, CeRh2Si2, TbB4 etc.) near metamagnetic transitions and unconventional superconducting phases. Within step 1, magnetization probes will be developed, tested and compared before choosing the most optimal
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and Jülich. Initially, the work will primarily take place in Aachen Scientific Exchange: The opportunity to attend national and international conferences Work-life balance: Optimal conditions for
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of advanced photonic integrated circuits (PICs) for optical switching and processing applications. Key Responsibilities: The selected candidate will be expected to: Design, simulate, and optimize integrated
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Mechanisms and Functional Restoration of Sensory and Motor Systems, https://sfb1690.uni-goettingen.de) and the newly founded Else Kröner Fresenius Center for Optogenetic Therapies (EKFZ: https://ekfz.uni
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– overarching goal of the research program is to define optimal cancer prevention and intervention strategies and match the right therapies to the right patients and to advance precision cancer care with real
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically