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Field
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (11 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences
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Perception Group @ Microsoft Research Cambridge Chris Bishop | Tom Minka Statistical Laboratory Phil Dawid | Richard Samworth | David Spiegelhalter Computer Lab Sean Holden | Carl Henrik Ek | Ferenc
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed
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, Bachelor's Degree, Master's Degree, or Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a PhD from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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workflows, and supporting infrastructure, while working closely with behavioral scientists and collaborating with computer scientists and technical teams Play a central role in developing the enterprise model