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application of state-of-art theoretical chemistry tools to investigate ultrafast and quasi-equilibrium phenomenon for large, and complex interfacial systems. A primary goal will be bridging the time scale and
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) at Cornell University has an opening for a Postdoctoral Associate to work on the CMS experiment at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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campaigns and the analysis of resulting data. Principal Duties and Responsibilities Conduct independent research safely, efficiently, and professionally. Ensure that all experiments meet MIT’s safety and
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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influences within Florida's coastal watersheds. Your work will involve integrating GIS mapping, water quality modeling, and environmental data to assess hydrology and water quality dynamics. This position
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library, mixed reality projects, and pre-clinical cardiac medical device testing. Duties/Responsibilities: Regularly assist with preclinical research studies, including large animal models and isolated
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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-world court data on racial composition of juries and videos of jury selection, databases of real 911 calls, psychophysiological data during large-group decision making) on topics that could include (but