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materials for quantum sensing applications using NV centers formed in diamond. Specifically, observation of electronic and spin states of color centers by optical and spin characterization, crystal processing
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description of the project] * Background of the recruitment and description of the project The ARG Sugimoto Unit conducts research on materials and processes for low-environmental-impact energy storage
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managed safely according to strict rules. Personal information received during the recruiting process will be used only for recruitment screening and appointment procedures and not for any other purposes
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(K Program)." With regard to atmosphere–ocean forecasting, which has an impact on the safe operation of ships, CSPX will establish an atmosphere–ocean seasonal prediction simulator for 1–3 months ahead
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during the recruiting process will be used only for recruitment screening and appointment procedures and not for any other purposes. (2) Successful candidate should submit a certificate documenting their
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information received during the recruiting process will be used only for recruitment screening and appointment procedures and not for any other purposes. (2) Successful candidate should submit a certificate
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of on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (UK General Data Protection Regulation)" with your signature. You will find detailed
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for their chosen laboratory whenever possible, but might be offered a position in a different laboratory as part of the screening process. If there are any changes in job description during the contract period or
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to society through quantum technology. This research team is investigating optical quantum control technology with the aim of developing an optical quantum computer. In quantum systems, quantum states are
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms