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several of the following areas. You are not expected to have experience in all of them. Modeling and domain expertise : Flood inundation modeling and mapping using 1D/2D hydrodynamic models. River basin
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of scientific AI. Focus Areas: Cross-Domain Interoperability: Develop common readiness templates, standardized metadata models, and APIs to enable seamless integration across diverse scientific domains
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(confocal, multiphoton, fluorescence resonance energy transfer, total internal reflection fluorescence) and Flicker spectroscopy. You will also engage with neutron scattering researchers in mapping DIB
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, United States of America [map ] Appl Deadline: (posted 2025/10/03 05:00 AM UnitedKingdomTime, listed until 2026/04/04 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Overview: We are seeking a
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, United States of America [map ] Appl Deadline: (posted 2025/10/03 05:00 AM UnitedKingdomTime, listed until 2026/04/04 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Overview: The Data and AI
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, Tennessee 37831, United States of America [map ] Appl Deadline: (posted 2025/10/02 05:00 AM UnitedKingdomTime, listed until 2026/04/03 04:59 AM UnitedKingdomTime) Position Description: Apply Position
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, United States of America [map ] Appl Deadline: (posted 2025/10/02 05:00 AM UnitedKingdomTime, listed until 2026/04/03 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Overview: The Multiscale
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, MLSys/SC/HPDC). Hands-on with distributed training/inference (FSDP, DeepSpeed, Megatron-LM), accelerator programming, and large-scale data pipelines. Experience building agents that use tools/APIs (e.g
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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. Eventually, we aim to map these algorithms on to energy-efficient emerging devices. In addition, you may also explore applying LLMs to drive multimodal models in scientific domains towards deep reasoning. As a