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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
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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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neural networks on synchronised video, audio, and text data to automatically detect how gestures or gaze contribute to meaning in conversations.- Bridging cognitive science and AI to model how humans
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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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. 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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take place in the week of December 1st. Expected starting date is no later than February 1st, 2025. Screening is part of the procedure. Applications should include the following documents: A video (2-minute
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place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) Researcher There is a vacancy for a researcher position at
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place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) Researcher There is a vacancy for a Researcher position at
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Company-Video Where to apply Website https://academicpositions.com/ad/swiss-federal-institute-for-forest-snow-and-la… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
with human subject video data and suggestions on how to overcome them? What are the pros and cons for using synthetic data for training multi-human gaze detection algorithm? What are the best ways to use