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collaborative projects, work with and help mentor graduate students in our Program, participate in the regular SGS seminar series and other Program activities, and assist with relevant undergraduate or graduate
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in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon mediated entanglement for distributed quantum networks
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leverages unique and transferable features of immersive technologies to transform the presentation of time series plots, image layers, and tabular data, thereby improving in situ data collection. Evaluate
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seminar series, courses provided by MU, participation in conferences, staff mobility training, participation in research projects, support of project department); relocation support and help from
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semester, assist in organizing research-based events (e.g., speaker series, symposia, or reading groups), present their work at research methods and field-specific seminars, and offer consultation to faculty
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supported by faculty with diverse expertise, including mentorship teams for each trainee consisting of scientific and clinical investigators, a clinical shadowing program, and a lecture series encompassing a
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486-1-border/@@images/file Application Instructions: Persons interested in the above position should submit a cover
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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
biogeochemical model using times series forecasting and machine learning. The Post Doc will focus on one or two of the questions depending on their expertise and interest. Minimum Acceptable Education & Experience