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Field
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remodels and heals under controlled in vitro conditions. In the first phase, you will validate and implement the BBoC technology. In the translational phase, you will study how a candidate pharmaceutical
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(AMPV). New AMPV subtypes have recently been detected for the first time in the U.S. and continue to spread across all poultry sectors. Vaccination is one of the most effective control measures and is
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spectroscopy. Experience designing custom experimental hardware, vacuum systems, and plasma diagnostics. Experience applying machine learning methods for predictive analysis. Expereince with the Python
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 19 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic
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apply AI approaches to improve prediction of biological invasions across species, ecosystems, and geographic regions. The project will emphasize the development and evaluation of probabilistic and
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Particle Control (PEPC) group of the Fusion Energy Division at Oak Ridge National Laboratory. The PEPC group performs experimental and modeling work, focused on the boundary region of tokamaks, stellarators
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application to field studies and other phenomic data for biological discovery and breeding predictions. Responsibilities: -Under general supervision, is responsible for conducting research into phenomics
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theoretical predictions with measured data. Experience using high-performance computing resources for scientific simulation. Experience developing reproducible scientific computing workflows using version
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled