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Title | Daniel |
Description | Research Visiting Professor (NTU) - Emeritus Senior Scientist |
Keywords | N/A |
WebSite | daniel-vaulot.fr |
Host IP | 167.99.246.105 |
Location | United States |
Euro€3,275,591
Dernière mise à jour: 2022-10-23 02:15:26
daniel-vaulot.fr a un classement mondial Semrush de 3,231,266. daniel-vaulot.fr a une valeur estimée à € 3,275,591, sur la base de ses revenus publicitaires estimés. daniel-vaulot.fr reçoit environ 377,953 visiteurs uniques chaque jour. Son serveur Web est situé au United States, avec l'adresse IP 167.99.246.105.Selon SiteAdvisor, daniel-vaulot.fr est sûr à visiter. |
Valeur d'achat/vente | Euro€3,275,591 |
Revenus publicitaires quotidiens | Euro€3,024 |
Revenus publicitaires mensuels | Euro€90,709 |
Revenus publicitaires annuels | Euro€1,088,504 |
Visiteurs uniques quotidiens | 25,197 |
Remarque: Toutes les valeurs de trafic et de revenus sont des estimations. |
Host | Type | TTL | Data |
daniel-vaulot.fr. | A | 59 | IP: 167.99.246.105 |
daniel-vaulot.fr. | A | 59 | IP: 3.125.16.34 |
daniel-vaulot.fr. | NS | 3600 | NS Record: dns1.p06.nsone.net. |
daniel-vaulot.fr. | NS | 3600 | NS Record: dns2.p06.nsone.net. |
daniel-vaulot.fr. | NS | 3600 | NS Record: dns3.p06.nsone.net. |
daniel-vaulot.fr. | NS | 3600 | NS Record: dns4.p06.nsone.net. |
Toggle navigation Daniel Vaulot Home Research Topics Projects Publications Recent papers Submitted papers Full list of papers Talks Teaching Courses Supervision Posts CV Contact Daniel Vaulot Visiting Professor (NTU) - Emeritus Senior Scientist (CNRS) Nanyang Technological University, Singapore Station Biologique de Roscoff CNRS Sorbonne Université After attending the Ecole Polytechnique in Paris, the Ecole Nationale du Génie Rural and working as an engineer for a few years, I completed a PhD on the cell cycle regulation of phytoplankton under the guidance of Penny Chisholm at MIT, Cambridge, US. From 1985 to 2019, I have been a researcher at CNRS, working at the Station Biologique of Roscoff (France). I developed initially applications of flow cytometry to measure picoplankton abundance in the Ocean. Around 1995, I began to focus on the diversity and ecology of eukaryotic picophytoplankton developing molecular approaches such as gene cloning, metabarcoding and metagenomics. Currently |
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