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(FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our interdisciplinary team. Project overview This project aims to develop machine learning models
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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collaborative centers. The new hire will work on challenging problems in expanding existing modeling algorithms to new domains, and creating hybrid techniques merging the best features of currently incompatible
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, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct research related to developing and applying foundation models, including the recently developed Prithvi WxC model. The fellow’s
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
modelling of trace gas emissions are also considered a strength. We encourage research proposals to explore questions around the use of plume imaging technology to geolocate and quantify natural emissions
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-sensitive catalyst materials Experience with the design and construction of batch and flow reactors for catalysis Proficiency with analytical techniques such as X-ray absorption spectroscopy, nuclear magnetic
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/benefits/benefits-overview . Posting Summary The Modeling Equitable and Accessible Spaces for Everyone (M-EASE) project in the Department of Psychology and Center for Cognitive Science is seeking a post
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs