2,351 quantum-computing "https:" "https:" "https:" "Humboldt Universität zu Berlin" Postdoctoral positions in United States
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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, listed until 2026/06/18 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Postdoctoral Position in Computational Quantum Materials Special Appointment Track Department of Physics
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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under the aegis of the US Genesis Mission at BNL, aimed among others at accelerating the quantum information efforts in the Nation. The mission is to address challenges facing scalable quantum computing
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Physics (APCTP). The position is extendable for an additional year based on performance and research funding. The successful candidate will join the Junior Research Group “Quantum Matter Theory,” led by Dr
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information at BNL | Benefits Program The Co-Design Center for Quantum Advantage (C2QA) at BNL coordinates a team of leading experts from national laboratories, academic institutions, and industry partners
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The Princeton Quantum Initiative seeks outstanding applicants for our postdoctoral fellowship program. Appointments will be at the Postdoctoral Research Associate or more senior researcher rank
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postdoctoral fellowship program. Appointments will be at the Postdoctoral Research Associate or more senior researcher rank. These highly competitive positions will support research in quantum science and
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The Q-NEXT National Quantum Information Science and Research Center based at Argonne National Laboratory invites applications for a postdoctoral position to conduct research in the field
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chemistry and experience with quantum chemistry packages (e.g., Molpro, NWChem) Strong skills in developing and implementing computational and numerical methods; familiarity with parallel computing on CPU/GPU