mu-ds.de bewertung und analyse
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| Title | MuDS |
| Description | Munich School for Data About About MUDS Contact Call for Industry Partnerships Research & Training Research Topics Training Program Members Graduate Students Principal Investiga |
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Server Information
| WebSite | |
| Host IP | 78.47.106.37 |
| Location | Germany |
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mu-ds.de bewertung
|
Euro€1,653
Zuletzt aktualisiert: 2022-07-06 05:36:27
mu-ds.de hat Semrush globalen Rang von 22,868,359. mu-ds.de hat einen geschätzten Wert von € 1,653, basierend auf seinen geschätzten Werbeeinnahmen. mu-ds.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 78.47.106.37. Laut SiteAdvisor ist mu-ds.de sicher zu besuchen. |
Verkehr & Wertschätzungen
| Kauf-/Verkaufswert | Euro€1,653 |
| Tägliche Werbeeinnahmen | Euro€34,713 |
| Monatlicher Anzeigenumsatz | Euro€11,571 |
| Jährliche Werbeeinnahmen | Euro€1,102 |
| Tägliche eindeutige Besucher | 551 |
| Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. | |
DNS Records
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| mu-ds.de. | A | 800 | IP: 78.47.106.37 |
| mu-ds.de. | NS | 800 | NS Record: dmz-dns3.helmholtz-muenchen.de. |
| mu-ds.de. | NS | 800 | NS Record: dmz-dns4.helmholtz-muenchen.de. |
| mu-ds.de. | NS | 800 | NS Record: dns-1.dfn.de. |
| mu-ds.de. | NS | 800 | NS Record: dns-3.dfn.de. |
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| mu-ds.de. | MX | 800 | MX Record: 10 a1491.mx.srv.dfn.de. |
| mu-ds.de. | MX | 800 | MX Record: 10 b1491.mx.srv.dfn.de. |
HtmlToTextCheckTime:2022-07-06 05:36:27
| About About MUDS Contact Call for Industry Partnerships Research & Training Research Topics Training Program Members Graduate Students Principal Investigators MUDS Steering Board Staff Application Application Procedure Application Schedule Eligibility Apply now FAQ Munich School for Data Science Apply now Munich school for Data Science Apply now The Munich School for Data Science (MUDS) The Munich School for Data Science (MUDS) aims at excellent graduates of mathematics, computer science, natural science and engineering, to train the next generation of data scientists at the interface of data science and four different application domain sciences: biomedicine, plasma physics, earth observation, and robotics. These domains are organized in the educational tracks of the research school. MUDS will strengthen domain-driven research by teaching methodological data science skills in an interdisciplinary and application-oriented fashion. Our main path to achieving this is to offer joint |
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