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Showing results 21 to 30 on 119 in total
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PhD defense of Julie LEDOUX
Title : Modularité et Désordre Intrinsèque : Dialogue Moléculaire de Protéines Archétypales avec leurs Partenaires Physiologiques
Supervision : L. Tchertanov
Defended 10/10/2023, (room 1B26) -
Conférence CYPSY26
The 26th annual conference CYPSY26 is an international networking and sharing platform for researchers, clinicians, policymakers and funding agents to share and discuss advancements in the growing disciplines of CyberPsychology, CyberTherapy, and Social Networking.
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A world record challenge for the ENS Paris Saclay !
On Saturday May 27, 2023, ENS Paris Saclay, in collaboration with University College Dublin, the Marine Institute, Eire Composite and the Inishmaan community, will attempt to set a record for the furthest maritime broadband transmission without satellite or cellular connection. This is part of the SeaFi project, a key element of the ERC Highwave project led by Professor Frederic Dias.
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Borelli@Saints-Pères : M. Calice & J. Ballbé
04/17/23 :
Margaux Calice : A theoretical multiscale examination of visual spatial attention in mouse cerebral cortex
Julien Ballbé : Development and validation of a cerebral cortex spiking neuron model of the mouse -
Piecewise deterministic Markov processes and their invariant measures
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Julien NELSON
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Borelli@Saints-Pères : D. Keriven Serpollet & R. Barrois Muller
20/03/23 :
D. Keriven Serpollet : Understanding pilot’s sensorimotricity: from vestibular perception to mental workload assessment
R. Barrois Muller : Spontaneous movement assessment using inertial sensors in infants with severe spinal muscular atrophy after gene therapy. -
PhD defense of Sylvain JUNG
Title : Analyse de la marche et de l'activité humaine dans des environnements libres
Supervision : L. Oudre et D. Ricard
Defended 03/22/23 (1B36 Room) -
Chairs
The industrial transfer of the scientific activities of the Centre Borelli is realized through chairs set up with industrial partners.
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Chaire IDAML
The Industrial Data Analytics and Machine Learning (IDAML) chair aims to develop scientific expertise in data science and machine learning applied to industry.