juergen-bernard.de bewertung und analyse
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| Title | Prof. Dr. Jürgen |
| Description | Jürgen Bernard Assistant Professor of Computer Science at University of Zurich Interactive Visual Data Analysis Group Address: Binzmühlestrasse 14, CH-805 |
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| Location | Germany |
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juergen-bernard.de bewertung
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Euro€3,306
Zuletzt aktualisiert: 2022-10-15
juergen-bernard.de hat Semrush globalen Rang von 9,391,765. juergen-bernard.de hat einen geschätzten Wert von € 3,306, basierend auf seinen geschätzten Werbeeinnahmen. juergen-bernard.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 81.169.145.148. Laut SiteAdvisor ist juergen-bernard.de sicher zu besuchen. |
Verkehr & Wertschätzungen
| Kauf-/Verkaufswert | Euro€3,306 |
| Tägliche Werbeeinnahmen | Euro€84,303 |
| Monatlicher Anzeigenumsatz | Euro€28,101 |
| Jährliche Werbeeinnahmen | Euro€2,204 |
| Tägliche eindeutige Besucher | 551 |
| Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. | |
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| Host | Type | TTL | Data |
| juergen-bernard.de. | A | 149 | IP: 81.169.145.148 |
| juergen-bernard.de. | AAAA | 149 | IPV6: 2a01:238:20a:202:1148:: |
| juergen-bernard.de. | NS | 150 | NS Record: docks18.rzone.de. |
| juergen-bernard.de. | NS | 150 | NS Record: shades12.rzone.de. |
| juergen-bernard.de. | MX | 150 | MX Record: 5 smtpin.rzone.de. |
HtmlToTextCheckTime:2022-10-15
| Jürgen Bernard Assistant Professor of Computer Science at University of Zurich Interactive Visual Data Analysis Group Address: Binzmühlestrasse 14, CH-8050 Zurich Email: bernard (at) ifi.uzh.ch Phone: +41 44 635 43 24 (direct) Research Platforms: Scholar , DBLP , ORCiD , LinkedIn Prior Affiliations: Research Platforms Google Scholar Researchgate Academia ACM DBLP Arnetminer ORCiD Scorpus Academic Research Mendeley Semantic Scholar --> I’m hiring! Full PhD position open in Interactive Visual Data Analysis at University of Zurich! --> News Publications by Topics Awards Invited Talks Publications by Type Teaching Publication Gallery About My primary research includes the characterization, design, and evaluation of visual-interactive interfaces to combine the strengths of both humans and algorithms in interactive machine learning and data science applications. My data-centered focus is on time series data as well as multivariate data. My technique-driven focus ranges from |
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