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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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secured funding support for ~2 years. The goal of this project is to design and develop spatially explicit decision support tools and assist with updating an Implementation Plan to identify and prioritize
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micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity
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learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security
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multimodal. Furthermore, law enforcement agencies cannot afford to share sensitive data with external parties, so methods must avoid external cloud APIs and be light enough to run on limited hardware. Your job
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Position Description About Sandia: Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused
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Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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of automotive systems, including relevant hardware and software components; Automotive cybersecurity, including vulnerability analysis, protection mechanisms, and the security of automotive communications and
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applications. Information Ultrasound is one of the most widely used medical imaging modalities due to its safety, accessibility, and real-time capabilities. Yet important limitations remain, particularly in