16 ocean-atmosphere-modeling Postdoctoral positions at University of California Irvine
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-scale ocean biogeochemical changes using a combination of remote sensing, modeling and in situ observations. Specifically, the postdoc will use a combination of ocean color remote sensing observations
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processing and image reconstruction. Orange County is world-renowned for its natural beauty, perfect year round climate, gorgeous locales on the Pacific Ocean and incomparable recreational opportunities. Great
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higher than the published system-wide salary at the designated experience, are offered when necessary to meet competitive conditions. Application Window Open date: July 1, 2025 Next review date: Thursday
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models with massive amounts of real-world data to transform geophysicists' ability to solve the most difficult subsurface challenges. Two grand challenges targeted by the project are: 1) developing and
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data analysis, including multi-level modeling. Prior research experience on projects related to U.S.-based criminal courts. Application Requirements Document requirements Curriculum Vitae - Your most
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling These positions
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Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational Approaches to Materials Science and Engineering; Nanoscale
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and
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Biology Physical, Atmospheric, or Analytical Chemistry Polymer, Materials, or Nanoscience Chemistry Theoretical Chemistry This is an ongoing recruitment. Positions are dependent on extramural funding and
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and