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other air pollutants, including source-resolved measurements; Modeling of indoor pollutant emissions, transport, transformation, and exposure, ranging from mechanistic or mass-balance approaches to more
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administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.10.2026 | Working hours: 40.00
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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with a dissecting microscope under sterile conditions and in utero electroporation. The individual will perform studies to analyze cellular and molecular signaling using in vitro and animal models
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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-generation 3D chip integration. Where to apply Website https://www.academictransfer.com/en/jobs/364047/postdoc-position-on-wafer-bondi… Requirements Specific Requirements You have a PhD degree in materials
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of cosmology and theories of gravity. Possible research directions include: modified theories of gravity; black holes and compact objects; gravitational waves; dark matter models; strong-field tests of general
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the success of our students and the quality of our intellectual contributions to society. For additional information, see http://biology.unt.edu. UNT has a highly diverse campus with a wide range of languages
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research group (the Habitability, Atmospheres, and Biosignatures Laboratory; HABLab) to develop atmospheric inverse models, with an emphasis on reflectance spectroscopy. Key areas of study will include