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Field
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modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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features (e.g., AI-based conversational agent, motivational interviewing, etc.) including their validation; (iii) interface the app with the soft hand exoskeleton technology (developed by another PhD student
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Scaling, compression, and efficient training of multimodal and foundation models Self-supervised, contrastive, continual, curriculum, and lifelong learning Agentic foundation models, tool use, self
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AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and federated learning, AI security and privacy, quantum machine
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the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year
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on Tasks 1 - 7 Where to apply Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Skills/Qualifications Holding a degree of
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-fabricated pavilion using a team of aerial robots. HARPA is looking for two motivated PhD candidates who closely collaborate to enable this vision: PhD #1: Multi-Agent Planning and Control for Cable-Suspended
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world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis