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Field
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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water resources and flood-resiliency planning is a plus. Hiring Process The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be interviewed on a
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such as protecting embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and
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and structural transitions of transcription complexes and transcription-translation complexes and to identify and characterize small-molecule inhibitors of transcription. Prepares and assays proteins
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commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. The Pennsylvania State University is committed to and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
. Description: This work is intended to expand our understanding of how the chemical complexity of a molecule identified in a planetary ocean worlds environment may be an indicator of the presence of biology. We
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conflicts (TRCs), DNA-protein crosslinks and their contribution to genomic instability. Our goal is to understand the molecular mechanism of complex genome rearrangements which is prevalent in cancers and