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Field
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reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling results into reports. Requirements, qualifications
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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Applications are invited for a 24-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
: speech processing, computer vision, machine learning, solid programmming skills interest in connecting AI with human cognition Prior experience with LLM, SpeechLMs, RL algorithms, or robotic platforms is a
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of artificial intelligence systems. Relevant areas may include, but are not limited to, algorithmic fairness and bias, transparency and accountability of AI systems, AI safety and alignment, privacy and data
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Project Overview We are seeking one Postdoctoral Associate in Computer Science to join the research program "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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and human-based leadership. As organizations increasingly blend algorithmic and human decision-making, fundamental questions arise about how leadership operates, adapts, and creates value in this new
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to architectures, algorithms, and applications. Titled "Exploring Atomic Ensemble Qubits for Distributed Quantum Computing," this LBNL-funded initiative brings together experts from the ESnet, NERSC, and AMCR
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LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets