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PhD Defense

Julien Monnet "Process optimisation of tungsten carbide components realised by micro electro discharge milling and characterization of the induced mechanical properties"

Monday December 9th - 10.00 AM
ENSMM_26 rue de l'Epitaphe

Passed events

  • PhD Defense / 05 July 2022 / INRS Nancy - Salle de conférence Batiment 29

    Maha REDA : "Mechanobiological modeling of vibration-induced intimal hyperplasia

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  • International summer school / 05 July 2022 to 08 July 2022 / IUT Besançon

    International Summer School on Hydrogen Materials and processes for hydrogen components

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  • PhD Defense / 04 July 2022 / FEMTO-ST - TEMIS BUILDING - Amphi JJ Gagnepain

    Camille JEANNOT : "Considering rings waviness and flexibility to model static behaviour of ball bearings with thin rings"

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  • PhD Defense / 30 June 2022 / ENSMM Bâtiment Transfert 26 Rue de l’Épitaphe Besançon

    Santerelli Falzon TETSING TALLA : "Ultra-stable laser based on cryogenic Fabry-Perot cavity"

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  • PhD Defense / 30 June 2022 / FEMTO-ST - TEMIS BUILDING - Amphi JJ Gagnepain

    Achraf EL MOHAJIR : "Development of a silicon micro-device dedicated to the selective detection of BTEX in indoor air: contribution of the “GLAD” technique for the elaboration of nano-structured SnO2 sensitive layers"

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  • PhD Defense / 21 June 2022 / FEMTO-ST - TEMIS BUILDING

    Fernando Eleazar García Ramírez : "Integration and study of a MOEMS-based endomicroscopic system for early detection of gastrointestinal cancers by SS-OCT3

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  • Summer school / 07 June 2022 to 10 June 2022 / Crunch Lab - Site de Belfort Rue Thierry Mieg 90010 Belfort Cedex

    VFCS’22

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  • PhD Defense / 24 May 2022 / Département des Sciences et Energies Louis Néel

    Ali ISMAIL : "Multiphysics approach for the optimal design of innovative magnetocaloric regenerators"

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  • 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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