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University of Nevada, Reno is a leading public research university committed to the promise of a future powered by knowledge. Founded in 1874 as Nevada’s original land-grant university, the University serves
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structures, and concurrency/multithreading Familiarity with state-machine design patterns and distributed consensus mechanisms. Proven background in control systems, real-time programming, process automation
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Energy For more information see: www.uu.se/earthsciences The successful candidate will join the research program Air, Water and Landscape Sciences (LUVAL) (https://www.uu.se/en/department/earth-sciences
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COMPETITION FOR THE POSITION OF ASSISTANT LECTURER (F/M) IN THE TEACHING STAFF GROUP (Ref. No. 3964)
Field Engineering » Electronic engineering Biological sciences » Biological engineering Researcher Profile First Stage Researcher (R1) Application Deadline 11 Oct 2026 - 23:59 (UTC) Country Poland Type
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(biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These challenges demand close collaboration across physics, biology, chemistry and the earth
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and neutron beamtimes; magnetometry, conductivity, EPR or solid-state NMR on air-sensitive samples. Co-authorship in studies combining experiments and theory. Qualifications PhD in Chemistry, Materials
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 4 days ago
designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology. Description: Understanding how magnetic energy is transported and
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Lexington, KY Grade Level 08 Salary Range $20.52-30.09/hour Type of Position Staff Position Time Status Full-Time Required Education AS Click here for more information about equivalencies: https://hr.uky.edu
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responsibilities will include introductory and early-career courses in earth science, geology, or geography (including geographic information systems [GIS]) and upper-level geology and geography courses based
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, biodiversity, or land-water interactions. Expertise in integrating multi-source datasets, machine learning, environmental modelling, or the development of digital twins. Experience in international and English