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familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary research and teamwork Pronounced
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 3 days ago
Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 31 Dec 2025 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week
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observation and high-resolution numerical modelling. However, the high computional cost associated with the numerical modelling approaches that we use at LIENSs (SCHISM modelling system ; Zhang et al., 2016
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performance outcomes at the network/architecture level. Scientific Impact: Publish high-impact research in top-tier neuromorphic engineering, circuit design, and/or computing journals and conferences
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Deadline 1 Jan 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon
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essential that the postdoc can work independently on the task and critically evaluate their own work. The postdoc will perform fluorescence measurements in plasma samples. The postdoc will also prepare brain
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infrastructure, core lab funding, and Advanced ERC grant funding Extensive collaborative opportunities with other lab members, labs, and institutes High-performance life sciences and compute infrastructure with
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Vacancies Postdoc Position on Power Electronics for Long-Duration Energy Storage (SLDbatt Project) Key takeaways The Faculty of EEMCS and the Power Electronics group at the University of Twente
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly