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EUROMECH 2023

22 et 23mai
Amphithéâtre MSHE 1 rue Charles Nodier 25000 Besançon

The EUROMECH symposiaum give scientists in the field of mechanics from all over Europe the opportunity to meet each year and exchange information on their current research.
For the first time this year, Besançon will host about 50 participants from May 22 to 23.
The work will focus on the multidisciplinary topic of using mechanical deformation to modulate the physicochemical properties of materials.
More informations : https://636.euromech.org/

Passed events

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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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  • Evènement grand public / 21 June 2022 / ENSMM Bâtiment Transfert 26 Rue de l’Épitaphe Besançon

    Matinée Usinage carbures & céramiques

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  • Séminaire annuel / 16 June 2022 / ENSMM

    Séminaire annuel 2022

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  • Journée scientifique / 13 June 2022 / ENSMM_26 rue de l'Epitaphe_Amphi Emilie du Chatelet

    Journée du Club Optique Micro-ondes

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  • Summer school / 07 June 2022 - 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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    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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