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Join us at the Hybrid Quantum Systems Laboratory to couple atoms to photonic integrated circuits. If you are interested in advancing quantum metrology, simulation and computing, this is for you
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze e Tecnologie Chimiche | Italy | about 2 months ago
are: (i) designing molecular units that respond to proteins and antibodies relevant in oncology, (ii) integrating these units into ultra-sensitive and miniaturizable cell-free biosensors, and (iii
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Tesla. Superconducting Quantum Inference Devices & Qubits Concepts and operation of Josephson junctions, SQUIDS and superconducting circuits and qubits. High-frequency Data Acquisition and Control
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to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab team values excellence, integrity, diversity, impact and kindness - and we
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circuits, transport phenomena in graphene and molecular nanostructures, to unconventional and topological superconductors. Our division integrates theory and experiment and works closely with groups such as
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The exponential surge in artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and integration technologies. As digital computing
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facilities. This position must embody the core values essential to the Facilities Organization : teamwork, innovation, integrity, inclusiveness, respect, and sustainability. The Electrical Project Engineer
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to Westlake University Homepage: https://en.westlake.edu.cn/ Link to School of Engineering Homepage: https://en-soe.westlake.edu.cn/ Department of Electronic and Information Engineering Electronic and
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provide technical leadership in open-source processor and accelerator architectures. The role focuses on advancing research in integrated circuit (IC) design and electronic design automation (EDA), with
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, the candidate will help the team on the following tasks and research areas : - improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...) - improve implementations of low