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found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity
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] Subject Areas: Statistics, Probability, OR, Actuarial and Financial Math Appl Deadline: 2025/11/15 11:59PM (posted 2025/08/16, updated 2025/08/11) Position Description: Apply Position Description
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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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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, atomic-scale point defects in wide-bandgap solids can exhibit a deterministic interaction between emitted photons and electronic and nuclear spins that enables photon mediated entanglement for distributed
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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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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
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students. What we offer: Opportunities to work in an excellent research environment and collaborate with global leaders in post-quantum cryptography, and with top financial institutions and industry partners
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, innovative, and impactful projects. Develop and write fellowship applications. Participate in a variety of group and departmental seminars and journal club series, as well as national and international