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-series data of astronomical transients, including gravitational wave data analysis. Experience with high-performance or high throughput computing (HPC/HTC). The initial appointment is for 1 year. It is
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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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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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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. Job Duties Assists with the production of routine financial reports and documents. Assists with processing labor distribution, budget and expense reports, and other financial documents in SAP and Concur
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architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and
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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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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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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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to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a