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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 5 days ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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biases. This interdisciplinary PhD (Psychology w. Computer Science) will investigate how generative AI–based super-resolution (SR) technologies influence human and machine-based facial identification
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/Qualifications Candidates should have received their PhD after January 1st 2018 and should demonstrate a track record and research vision that would make them competitive for top-tier early-career funding schemes
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/phd-co-created-long-term-vision… Requirements Specific Requirements You are: An enthusiastic researcher who is creative, independent, communicative and intrinsically motivated to address societal
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a short video, while the brain continuously operates in a dynamic world on a few watts only. What clever computations does the brain use to achieve efficient processing of videos? This PhD project
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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, MSc, and PhD level Write research articles, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer
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active. The PhD will be supervised by Prof. Wouter Saeys and Dr. Bart De Ketelaere, with support from industrial partners. A (nearly) completed Master’s in Engineering (Bioscience, Electrical/Computer
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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine