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cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional
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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland
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position within a Research Infrastructure? No Offer Description Do you want to contribute to cutting-edge research at the intersection of battery technology, electrochemistry, modelling and data science? We
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-based multispectral, hyperspectral, and RGB imagery. These models will integrate crop growth models, agronomic data, and genomic information to predict key wheat traits under varying climate conditions
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states. You are encouraged to bring in your individual ideas and expertise to the current project and furthermore to develop new project ideas. Where to apply Website https://www.academictransfer.com/en
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on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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at the designated experience level minimum, are offered when necessary to meet competitive conditions. Percent time: 100% Anticipated start: September 2026 or later Position duration: This will be a 2 year position
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 11 days ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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Python/Matlab or similar. Other Valued Skills Experience in FDTD simulations of advantage. Experience in quantum photonic principles for quantum sensing such as ODMR. Quantum Chemistry/Modelling