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geometry modelling, finite element simulation, optimisation, and will explore the opportunities for AI to enhance the digital design process. The role holders will carry out analyses, critical evaluations
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innovation, is a leader in the digital world. We are looking for an Assistant/Associate Professor in multimodal generative AI models for audio to jointhe ADASP/Audio research group which is part of the Signal
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teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern
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) experimental models. Our Group collaborates with colleagues based in two international consortia: CHARGE and ENIGMA. Our research takes place in both Barcelona, Spain and Montreal, Canada – with a dedicated team
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schemes and identify the application in larger HVDC systems. Expected Results Definition of relevant scenarios for the use cases, inspired in realistic European systems. Detailed simulation models
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intelligence, equipping students with analytical and computational tools to model, simulate, and understand complex biological and physical systems. About MBZUAI – A Global Leader in AI Research and Education
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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The mission of the department of Community Health Systems (CHS) is to
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This opportunity adds to the portfolio of projects within the new CDT for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites
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modelling photonic devices and physical reservoir computing systems. The activities within the project will benefit from synergies with other projects in the group as well as with other activities
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support