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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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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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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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Intelligence and Machine Learning: We invite applications from candidates with expertise in reinforcement learning, computer vision, robotics, and embedded intelligence, and AI hardware acceleration
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Position Location: Atlanta, Georgia 30332, United States of America [map ] Subject Areas: Computer Science / Computer Vision , Computer Graphics , Social Computing Appl Deadline: 2025/12/02 04:59 AM
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Job Title: Adjunct Faculty - Accounting Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair *All
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computer vision, NLP, and other AI domains to biological problems Build computational frameworks that integrate multi-scale immune data for digital twin development Implement rigorous model validation
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. Research Associate in Bioinformatics and Machine Learning Applications to Stem Cell Bioengineering The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking a
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specialised expertise in the Machine Learning for Engineering sub-theme. Candidates from all areas in machine learning are encouraged to apply, with a special focus on the areas of (i) information theory and