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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation. Candidates having
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materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
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and provide relevant information to inform NIST management and stakeholders - Maintain deep technical knowledge of advances in the application of artificial intelligence and machine learning
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teaching and learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use
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transformation. Why Join Us? 🚀 Make an Impact: Play a key role in shaping financial strategies that influence the University’s growth and global standing. 📈Growth & Development: We believe in continuous learning
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collaborations in areas such as healthy living, transport, green energy, and advanced manufacturing. The role requires strong hands-on technical skills in modern AI, including deep learning, LLMs, Agentic AI, and
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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advising, delivers group training, and contributes to outreach and partnership activities that advance the program’s impact across Virginia. This role requires deep knowledge of small business finance
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Job Description For over 160 years, the University of Washington has been a hub for learning, innovation, problem solving and community building. Supporting this legacy and important public mission
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society for the next generation. By creating and adopting the principles of information science, we aim to train engineers who have a broad and deep knowledge of this field, as well as an international