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for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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The work will be based at LMD in Jussieu, in the EMC3 team (Etude et Modélisation du climat et du changement climatique). It will take place as part of the MAESTRO ERC project. It will involve collaborations
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. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000
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developing microbiome-based therapeutic strategies. The research will focus on 1) how chronic immunosuppressive therapies reshape the gut microbiome and microbial metabolic functions; 2) how specific
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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no benefits, based on the grant or project funding. South Carolina Retirement Yes State Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary Join the
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, operations research, or statistics). An ideal candidate would have proficient programming skills and demonstrated experience in computational modeling (particularly integrated assessment or power systems