60 computer-architecture "https:" "https:" "https:" Postdoctoral positions in United States
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and Pacific Biosciences platforms, single-cell multi-omics, 3D genome architecture studies (e.g., Micro-C and HiC), CUT&RUN and CUT&Tag. Experimental systems will include CRISPR/Cas9-mediated genetic
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Science Department invites applications for postdoctoral and more senior research positions in two areas of computer science. 1) Quantum computing and quantum architecture and systems. 2) Reinforcement learning
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behavioral diversity. Using the mating behaviors of Drosophila and the exceptional genetic access this system affords, we investigate how shared circuit architectures are retuned across species to produce
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networks, RNNs, LLMs) or in the deployment of such algorithms. Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators
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Posting Summary Logo Posting Number RTF00175PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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-learning models (e.g., graph neural networks, equivariant architectures) in collaboration with computer science researchers. Applying developed models to problems in Earth and planetary interiors, such as
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), and software-defined radio (SDR) testbeds. You will help build and validate an architecture where specialized communications 'agents' collaboratively co-design end-to-end transmit/receive processing
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of quantum materials under far-from-equilibrium conditions, and many body quantum information science that have prospects for advantage over classical computation. Techniques employed span over non-equilibrium
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will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to conduct
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
foundation model of human tissue. By learning universal representations of cellular architecture across organ systems, this computational platform will map structural remodeling during aging and simulate