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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 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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comprehensive vision care plan with low-cost exams and allowances for glasses or contact lenses Employee Assistance Program offering no cost confidential counseling sessions, legal consultations, financial
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Language Models (MLLMs) and their agentic implementations. Develop and benchmark novel adversarial attacks and defense strategies, focusing on the intersection of computer vision, natural language processing
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, and change artefacts with other Program Organisational Change Managers ·Identify opportunities to reduce duplication and improve efficiency across change delivery http://www.rmit.edu.au/its Key
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related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. ADA Accommodations
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communication systems, monitoring systems, computer vision, and robotic systems. - Demonstrated experience in scientific research, synthesis skills, problem solving and a collaborative attitude. BIs awarded
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consider and hire individuals who reside in, and will perform all work from, the following states: • Indiana • Illinois • Kentucky • Michigan • Ohio Major Responsibilities: PROGRAM OPERATION: Perform all
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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently