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Engineering, Data Science, AI/ML Engineering, Systems Engineering, or a closely related field (degree must be completed by start date). Demonstrated expertise in modeling and simulation, digital twins, AI/ML
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Interaction and Educational Technology. DIGITAL WORLDS INSTITUTE: Digital Worlds Institute (DW) is an interdisciplinary institute that offers academic and research programs at the intersection of the arts
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for continuous and campaign-style recordings; perform time-series and spectral analyses. Integrate seismic signals with tides, water-level anomalies, and wave forcing; evaluate controls of sediment properties
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, Ecology, or a closely related field. Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus). Strong proficiency in programming, particularly in
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composition and rhetoric, literature, or culture, though the following interests are encouraged: environmental or social justice rhetoric, digital and media studies, science writing, and public-facing
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, there are several exciting opportunities for a variety of very interesting projects beyond structure-function studies of cytoskeletal proteins that control signaling downstream of adherens junctions and focal
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development for data interoperability and system integration. Experience working with digital twin platforms, simulation environments, or real-time sensor data. Prior contributions to research software, open
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postdoctoral researcher to join an interdisciplinary research team investigating biogeochemical processes across various water environments, including, surface water, groundwater, and coastal seawater. This role
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and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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, exercise physiology, sports science, exercise science, data science, computer science, or a related discipline. Preferred: Experience with human subject research, including ethics approval processes and