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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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vision–language models, and 2) develop novel, inherently-editable vision–language model architectures to facilitate continuous updates during deployment. The postdoc’s main responsibilities will be
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on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard
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: Computational Sciences / Bio-computing Appl Deadline: (posted 2025/11/10, listed until 2025/11/30) Position Description: Apply Position Description As a computing researcher, you will be primarily responsible
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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are especially interested in candidates with strong technical expertise in AI architecture design (e.g., Vision Transformers, foundation models, and federated learning), scalable computing on leadership-class
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analytics. Leveraging expertise in architecture, computer science, and human-centered design, the associate will design and execute experimental and applied research studies. The associate will contribute
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transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories. Build robust