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causal inference, real-world evidence, multimodal data integration, or cloud/high-performance computing is a plus. The Postdoctoral Researcher will collaborate closely with biomedical informaticians
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, maintaining, and documenting open-source software tools or R packages Experience with geospatial analysis, environmental databases, and cloud or high-performance computing workflows Demonstrated record of peer
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
investigate together the chemical and physical evolution of the interstellar medium and star- and planet-forming regions, from clouds to disks, with links to exoplanets and our Solar System. The start date is
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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of water vapor: How does vapor buoyancy affect the momentum balance and large-scale circulations in Earth's and other planetary atmospheres? How does vapor buoyancy regulate clouds and Earth's energy balance
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further secured by Quantum Encryption techniques. On the other hand, optical links are affected by clouds (overcome by making various sites on the ground available) and turbulence in the atmosphere
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Requisition Id 17066 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group within the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory
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to federal research proposals, sponsored research applications, and collaborative project reports. Familiarity with scalable computing environments, cloud platforms, high-performance computing, distributed AI
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machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications: Experience with multi-GPU model training and