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Field
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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, Stellar Structure and Evolution. The successful candidate will have access to the Apache Point Observatory 3.5m telescope and the University of Oklahoma's supercomputer – Schooner. Applicants should have
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electrophysiological techniques AND/OR neuromodulation techniques Background knowledge in electronics and experience in signal processing. Background knowledge of machine-learning, AI, and computational neuroscience
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the interactions of Shigella with human cells in order to 1) identify pathogen features required for the pathogenic process, 2) identify point of intervention for vaccine development, and 3) characterize host
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research in professional and scientific meetings. Perform other duties as assigned. Essential Knowledge, Skills & Abilities: Experience working with human subjects. Training in signal processing and
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and adopt specialized functions in distinct tissue niches to either maintain homeostasis or drive age-related dysfunction. 2) The molecular and cellular processes that drive immune responses after
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laboratory protocols Evaluate and interpret research data using rigorous statistical and signal processing techniques Present research results in publications and at meetings, in collaboration with the PI
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this position must apply online at Careers at Mines (sdsmt.edu) . Human Resources can provide accommodation to the online application process and may be reached at (605) 394-1203. Review of applications will
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Summary The fellow will be involved in studies, which are aimed at understanding G protein-mediated signaling mechanisms underlying islet beta-cell function in health and diabetes. Specifically
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microcombs that reach down to the atomic transition wavelengths for the direct readout of the clock signal. Characterising the optical clock when using the above mentioned and demonstrated narrow linewidth