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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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; proficiency in graph data structures and algorithms for geometric analysis; advanced knowledge of surface representation math; experience in writing geometry translators for complex surface features; excellent
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; collaborates with principal investigator (PI) to develop and implement goals and objectives of studies; develops algorithms for medical image reconstruction, including but not limited to computed tomography
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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driving systems; assists in the integration of sensors and perception algorithms; assists in the design of software pipeline and experiments; performs and monitors experiments and data collection; assists
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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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community ecology, bryophyte taxonomy, and species distribution models. The results of the work will be used to direct bryophyte conservation efforts. Required: Ph.D. degree in a field of biological sciences
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collecting, compiling and analyzing research data; assists with generating reports as needed; assists with maintaining research supply inventory and orders supplies as needed; picks up, sorts, and distributes
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sites to distribute and collect study surveys, collect unit data, and address participant questions; and attending study team meetings. Perform duties of a responsible, sensitive, and confidential nature
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distribution, addressing non-clinical barriers preventing engagement with the health system and utilizing inclusion and exclusion criteria for participation in the clinical services and research studies