Tag: CERN community

  • A year to celebrate CERN’s 70th anniversary

    A year to celebrate CERN’s 70th anniversary

    Celebrations begin with Unveiling the Universe, an event combining science, art and culture in CERN Science Gateway on 30 January

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  • Staff Rules and Regulations – 11th edition

    Modification No. 22

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  • CERN Health Insurance Scheme (CHIS) – Monthly contributions as of 1 January 2024

    CERN Health Insurance Scheme (CHIS) – Monthly contributions as of 1 January 2024 Written by: HR department — The CHIS contribution rates are unchanged for 2024, but the contributions themselves will evolve due to the change in the relevant Reference Salary (see Chapter XII of the CHIS Rules). Thus, as of 1 January 2024, the

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  • Annual adjustments to financial benefits with effect from 1 January 2024

    In accordance with recommendations made by the Finance Committee and decisions taken by Council in December 2023, the following financial benefits have been adjusted, with effect from 1 January 2024

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  • CERN remuneration calendar in 2024

    To all members of the personnel in receipt of remuneration from CERN

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  • CERN highlights in 2023

    CERN highlights in 2023

    From high above to far below, journey through the CERN highlights of 2023

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  • CERN highlights in 2023

    CERN highlights in 2023

    From high above to far below, journey through the CERN highlights of 2023

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  • CERN highlights in 2023

    CERN highlights in 2023

    From high above to far below, journey through the CERN highlights of 2023

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  • Watch: Music and physics: a spacetime voyage back to our origins, with Yo-Yo Ma and Fabiola Gianotti

    Watch: Music and physics: a spacetime voyage back to our origins, with Yo-Yo Ma and Fabiola Gianotti

    Watch highlights of the world-renowned cellist in spoken and musical conversation with CERN Director-General

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  • Shaping future quantum techniques in machine learning at CERN

    Shaping future quantum techniques in machine learning at CERN

    The latest advancements in quantum techniques in machine learning have been presented at CERN, showcasing applications in particle physics and beyond

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