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Field
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group in developing generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the sciences and engineering, with translational applications in areas such as drug
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, fisheries science, climate science, or a closely related discipline by the start of appointment. Demonstrated experience with numerical modeling, ocean forecasting, or biophysical coupling. Experience with
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
, pollutants, natural contaminants, microalgal populations and Harmful Algal Blooms (HABs) in marine coastal areas, impacting the ecosystems and food safety. Head of the Program: Dr Jorge Diogène Tasks and
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Research Infrastructure? No Offer Description Do you want to advance our understanding of battery interfaces under electrochemical bias using near ambient pressure X-ray photoelectron spectroscopy (NAP-XPS
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collaborations with researchers across DOE laboratories, academic institutions, and partner agencies to expand the applications of AI-driven coastal wetland modeling to broader environmental challenges. Safety and
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Do you want to advance our understanding of battery interfaces under electrochemical bias using near ambient pressure X-ray photoelectron spectroscopy (NAP-XPS)? Come and join the Maibach Research
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, including statistical methods, modeling, or related areas. Qualifications: A doctoral degree in astronomy or related fields, awarded no more than three years prior to the application deadline.* Strong written
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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: 6636704 Postdoctoral Scholar in Remote Sensing of Inland and Coastal Water Quality University of California Merced Position overview Position title: Postdoctoral Scholar Salary range: See Table 23
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process