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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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– Requisition #35833 Job Summary: Nature of Work Visual Processing Center within the Department of Physiology and Biophysics Is seeking a post-doctoral researcher to join a team focused on understanding
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
, aircraft and space-based retrievals of surface emissivity, temperature, and evapotranspiration cover a range of processes linked to leaf, canopy and landscape scales. NASA’s current and upcoming thermal
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
develop and analyze a hierarchy of numerical modeling simulations to advance process-level understanding towards the goal of formalizing and quantifying the contribution of the land surface – and its
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optical imaging, genetic tools, and mouse models to investigate the mechanisms governing the secretion of pro-inflammatory molecules and their functional roles. Candidates should hold a Ph.D. in Biophysics
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optical imaging, genetic tools, and mouse models to investigate the mechanisms governing the secretion of pro-inflammatory molecules and their functional roles. Candidates should hold a Ph.D. in Biophysics
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://postdoc.wustl.edu/prospective-postdocs-2/ . The candidate will receive training for conducting synthesis of PET imaging probes, preclinical validation in rodent models, and translation of lead probes for
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floodwater extent and depth, which is critical for supporting emergency-response planning. The successful candidate needs to have knowledge and skills in remote sensing, image processing, machine learning/deep
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in