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such as healthy living, transport, green energy, and advanced manufacturing. The role requires strong hands-on technical skills in modern AI, including deep learning, foundation models, LLMs, agents, and
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model we deploy and support the ecosystem with training, advisory, and AI infrastructure. CeADAR is seeking a data scientist with solid experience in machine and deep learning research and development
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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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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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Houston provide. Successful applicants will have 5 or more years of teaching experience and demonstrate an ability to successfully teach undergraduate and graduate courses in the following areas
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vision, XR and generative models, specifically for capturing challenging scenarios and training deep learning systems to create better experiences for human users and learners. You will contribute
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to contribute, and that learning is constant. We seek a team member who is ready to share their skills and perspectives. About Stanford Libraries: Stanford University Libraries is a network of over 15 libraries
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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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. Build a PMO culture of accountability, transparency, and continuous improvement through retrospectives, lessons learned documentation, and measurable process maturity targets. Evaluate and recommend
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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