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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
processing, embedding, sectioning, staining, specimen accessioning, quality assurance activities, and operation of laboratory information systems. The position rotates weekly among laboratory workstations and
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immersive technologies, while embedding digital inclusion, ethical practice and sustainability into technology decision-making. Working in close partnership with academic, research and professional leaders
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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Intelligence and Machine Learning: We invite applications from candidates with expertise in reinforcement learning, computer vision, robotics, and embedded intelligence, and AI hardware acceleration
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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recently updated C.V. Cover Letter Reference requirements 2-4 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF05304 Help contact: dreamartinez@berkeley.edu About UC Berkeley
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD position is part of project embedded within the Marie
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and to mentoring students. Research Environment and Supervision: The positions will be embedded within the Astroparticle and Cosmology group at LAPTh, and will be supervised by Dr. Azadeh Moradinezhad
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scene synthesis and procedural world-building AI-assisted asset creation and semantic scene enrichment Synthetic data generation for perception and simulation Embedding real-time inference within