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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 2 months ago
-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and institute host an international team of researchers from more than 15 countries
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/InstituteForschungszentrum JülichCountryGermanyCityJülichGeofield Contact City Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0
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Jülich Website https://www.fz-juelich.de/portal/home Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail info@fz-juelich.de Phone +49 2461 61-0 Fax +49 2461 61-8100 STATUS: EXPIRED X (formerly Twitter
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 2 months ago
TechnologyCountryGermanyCityGreifswaldPostal Code17489StreetFelix-Hausdorff-Str. 2Geofield Contact City Greifswald Website http://www.inp-greifswald.de Street Felix-Hausdorff-Straße 2 Postal Code 17489 E-Mail hoelzel@inp-greifswald.de STATUS
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
MeeresforschungCountryGermanyCityOldenburgGeofield Contact City Bremerhaven Website http://www.awi.de/en Street Am Handelshafen 12 Postal Code 27570 E-Mail info@awi.de Phone +49 471 4831-0 Fax +49 471 4831-1149 STATUS: EXPIRED X (formerly Twitter
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engineering paradigm”, including its research foci and project leaders, is available on our website https://www.uni-bremen.de/en/the-martian-mindset . Tasks Assist in driving the cluster’s working group
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D