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43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 3 days ago
or Video Games or Psychology or related fields. Participation as a researcher in funded R&D Projects. Minimum of 4 scientific articles published as "Author” or “co-author" in indexed scientific journals with
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, and submit a copy of them as an attachment along with the electronic application/CV. We use Semac background checks on final candidates as part of our recruitment process. ... (Video unable to load from
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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. Screening is part of the procedure. Applications should include the following documents: A video (2-minute max) describing your scientific interests and why you are applying for this position. A cover letter
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about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position This PhD
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
ecology of Southern Hemisphere fin whales (SHFW). You will collect and analyse photographic and video imagery for photo-identification of fin whales, apply conventional matching techniques and develop deep
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at