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optoelectronic measurements of advanced quantum materials and devices, with potential applications in photodetection, sensing, communication, or computing. Relevant research areas include quantum photonics, moiré
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neuromorphic, stochastic, reservoir and probabilistic computing, and on the physical realization of probabilistic p-bits, laying the groundwork for future quantum-inspired computing concepts. Frontier research
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nanotechnology. The Catalan Institute of Nanoscience and Nanotechnology (ICN2) is seeking an experienced scientist and technical leader to establish and direct the new transversal Advanced Computing, Data Science
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of nanoscience and nanotechnology. Job Title: Jr. Materials Informatics Engineer Research area or group: Plataform AI@ICN2 Description of Plataform AI@ICN2/Project: AI@ICN2 is an institutional platform designed
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
different areas of nanoscience and nanotechnology. Job Title: Research Engineer - Tools developer for LSQUANT platform Research area or group: Theoretical and Computational Nanoscience Group Description
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PhD position funded by AEI agency (Spanish Government) TOPIC: Magneto-ionics for information technologies: secure and energy-efficient memories and advanced computing A PhD position is available
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platforms. Interdisciplinary Environment: Work alongside experts in nanofabrication, material growth, two dimensional materials, spin-orbit torques, and quantum devices in a vibrant and supportive research
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials