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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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about this program visit: https://www.himolde.no/english/studies/programmes/phd-in-logistics/index.html. We offer The place of work is Molde, Norway. The appointment period is 3 years. The position will
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: The Research Fellow will
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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where
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outcomes of therapy. The lab is looking for candidates for the following two stipends: • Stipend 1: Computer Vision-Based Analysis of Humans. This PhD candidate will focus on developing new AI/computer
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/Planning Internal Number: 7006956 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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activities Requirements: PhD, preferably in Computer Engineering, Telecommunications, ICT Law, or related cybersecurity disciplines ANECA-accredited PhD and/or recognized research track record (e.g., six-year
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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recognized basic and/or translational research program, provide service to the Institute, Department, and University, and mentor trainees in vision science. A competitive start-up package, excellent laboratory
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer