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contribute to the excellence of our academic community. The School of Nursing seeks a Research Fellow/Trainee to work on "Women's Health and Intersectionality Using Data Science and Health
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simulation, TEA and LCA, and have a good knowledge of current and future resource recovery and separation technologies. The successful candidate will 1) collect data pertaining to battery recycling, battery
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portfolio of data science-based projects which are aimed at assessing the near- and long-term health outcomes for a cohort of Service members who have sustained traumatic extremity injuries. You will gain
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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postdoctoral research associate to advance the state of scientific AI by addressing cross-cutting challenges in data readiness for AI to enable scalable, reproducible AI workflows on leadership-class systems
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to apply for a faculty or staff position, please review this tip sheet . The Department of Informatics and Health Data Science has an exciting opportunity for a full-time Postdoctoral Scholar to work on the
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date: Immediate Salary: $63,480 - $77,076 (Commensurate with NIH stipend levels, education, and experience) Benefits: https://www.umaryland.edu/hrs/benefits/ For more information regarding benefits
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Job Posting Title: Postdoctoral in Cognitive and Behavioral Data Science ---- Hiring Department: Department of Psychology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 13 days ago
electrophysiology to assess mechanisms of drug effects on cardiac and neuronal ion channels critical for safety evaluation. Additionally, the research will include advanced statistical modeling for data analysis and
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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models