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International summer school

International Summer School on Hydrogen Materials and processes for hydrogen components

From 5th to 8th of july
IUT Besançon

In this high-level training program, fifteen academic and industrial experts will offer courses on the materials and processes involved in hydrogen-energy industry: from the durability of metals or polymers in storage tanks to research actions to move towards decarbonisation.

More informations : https://events.femto-st.fr/H2_SummerSchool_Besancon2022/en/summer-school...

Passed events

  • PhD Defense / 20 May 2022 / ENSMM_26 rue de l'Epitaphe

    Bachir ACHI : "Miniature optical single ion clock"

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  • PhD Defense / 13 May 2022 / FEMTO-ST - TEMIS BUILDING

    Antoine CHEVROT : "Detection of Contextual Anomalies in Air Traffic Data Using Neural Network Models"

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  • PhD Defense / 21 April 2022 / Amphi RT2 Département Réseaux et Télécom Montbéliard

    Elie GEAGEA : On-surface chemical reactions studied by STM under UHV

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  • PhD Defense / 14 April 2022 / Bavans - Faurecia Clean Mobility Centre R&D

    Charbel EL HACHEM : "Automation of quality control and reduction of non-compliance using machine learning techniques at Faurecia Clean Mobility "

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  • PhD Defense / 05 April 2022 / IUT Belfort - Amphi I102 - Bâtiment I

    Théodor AL SAIFY : "Implementation of real-time autonomous application for Industry 4.0 applications at FAURECIA CLEAN MOBILITY"

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  • PhD Defense / 21 March 2022 to 01 April 2022 / FEMTO-ST - TEMIS BUILDING

    Vladimir SEMENOV : "All-optical spatial light modulators for the design [...]

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  • PhD Defense / 20 December 2021 / FEMTO-ST - TEMIS BUILDING

    Hugo DAGUERRE : "Position estimation based on electrical impedance for mobile microrobotics"

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  • PhD Defense / 17 December 2021 / FEMTO-ST - TEMIS BUILDING

    Nadezhda SEMENOVA :"General aspects of noise in deep neural networks on an analog hardware architecture"

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  • PhD Defense / 16 December 2021 / Amp

    Henri De Boutray : " Computational studies of quantum entanglement and contextuality with a view to their formal verification"

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  • PhD Defense / 16 December 2021 / Département des Sciences et Energies Louis Néel

    Johny MATAR : "Optimization of machine learning techniques for genomic clustering""

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