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Field
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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their P&L from $75 million in 2005 to $1.15 billion in 2008 . Previously Ben earned a PhD in Math (Algebraic Topology under Peter May) from the University of Chicago. Michael Rauchman - formerly GETCO's CTO
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their P&L from $75 million in 2005 to $1.15 billion in 2008 . Previously Ben earned a PhD in Math (Algebraic Topology under Peter May) from the University of Chicago. Michael Rauchman - formerly GETCO's CTO
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art, architecture, and design, or a program with a relevant East Asian studies and art component. Professional Competencies • Knowledge of East Asian art history, history, literature, and/or culture(s
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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. OIST is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan, which offers a 5-year PhD program and brings together outstanding researchers from across the country and
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding