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to contribute to training workshops and internal upskilling efforts. Your work will contribute to publications, open-source software, and translational research. Opportunities for conference attendance and career
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. The successful candidate will be joining the Quantum Photonics group led by Prof. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including quantum memories, quantum
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are seeking a talented and motivated Backend Developer to join our team. The new team member will contribute to the national
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PostDoc - Advanced STEM imaging and spectroscopy in Nanoscience and Nanotechnology (RIANA Project)- ICN2 & ALBA Synchrotron Research area or group: Advanced Electron Nanoscopy Description of Group/Project
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Process Developer with a strong technical background in CQD processing and integration with PICs, ideally in industrial or application-driven environmentsPosition Overview:We offer a staff research engineer
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Process Developer with a strong technical background in CQD processing and integration with PICs, ideally in industrial or application-driven environments Position Overview: We offer a staff research
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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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. The successful candidate will be joining the Quantum Photonics with Solids and Atoms group led by Prof. Dr. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including
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. The successful candidate will be joining the Quantum Photonics with Solids and Atoms group led by Prof. Dr. Hugues de Riedmatten. The group has experience in quantum technologies for quantum networks, including
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex