philippeciuciu.fr évaluation et analyse

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Title Research
Description Search Research Research Home People Posts Projects Talks Publications Contact Light Dark Automatic Philippe Ciuciu Research Director CEA (French Alternat
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philippeciuciu.fr Évaluation
Euro329,161
Dernière mise à jour: 2022-06-15 18:22:12

philippeciuciu.fr a un classement mondial Semrush de 32,155,443. philippeciuciu.fr a une valeur estimée à € 329,161, sur la base de ses revenus publicitaires estimés. philippeciuciu.fr reçoit environ 37,981 visiteurs uniques chaque jour. Son serveur Web est situé au United States, avec l'adresse IP 164.90.232.184.Selon SiteAdvisor, philippeciuciu.fr est sûr à visiter.

Trafic & Estimations de la valeur
Valeur d'achat/vente Euro€329,161
Revenus publicitaires quotidiens Euro€304
Revenus publicitaires mensuels Euro€9,116
Revenus publicitaires annuels Euro€109,383
Visiteurs uniques quotidiens 2,533
Remarque: Toutes les valeurs de trafic et de revenus sont des estimations.
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philippeciuciu.fr. A 60 IP: 164.90.232.184
philippeciuciu.fr. A 60 IP: 3.125.16.34
philippeciuciu.fr. AAAA 60 IPV6: 2a03:b0c0:3:d0::d0c:3001
philippeciuciu.fr. AAAA 60 IPV6: 2a05:d014:275:cb02:66df:50b:6e56:a6bf
philippeciuciu.fr. NS 3600 NS Record: dns2.p05.nsone.net.
philippeciuciu.fr. NS 3600 NS Record: dns3.p05.nsone.net.
philippeciuciu.fr. NS 3600 NS Record: dns4.p05.nsone.net.
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HtmlToTextCheckTime:2022-06-15 18:22:12
Search Research Research Home People Posts Projects Talks Publications Contact Light Dark Automatic Philippe Ciuciu Research Director CEA (French Alternative Energies and Atomic Energy Commission) Biography Dr. Ciuciu is a CEA Research Director at NeuroSpin ( CEA ), the largest ultra-high field MRI center in France dedicated to cognitive and clinical neuroscience research. He has a joint appointment with Inria , the French institute of computer Science and automatic control where he has led, since 2018, the Compressed Sensing team in the Inria-CEA Parietal unit located at NeuroSpin. Since Apr. 2022, due to his expertise in neuroimaging techniques, brain data analysis, and machine learning, he has been leading the new joint Inria-CEA unit MIND, (Models and Inference for Neuroimaging Data) , a cutting edge research unit comprised of 40 researchers and staff. His inter-disciplinary research interests range from methodological developments in accelerated MRI to cutting-edge signal
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