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Field
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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HAPP: harmonised appraisal tool for grading and individualised feedback that is integrated into the learning management system (LMS) http://happ.rsm.nl/ Opens external Thesis coach finder: application
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to the fundamentals and algorithms of spatially and time-multiplexed oscillator-network computing. Duties The PhD student will focus on the fundamentals and algorithms for spatially and time-multiplexed oscillator
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Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ra/contract.html Qualifications Basic qualifications (required at time of application) PhD or equivalent international degree
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); Computer science foundations (Software Engineering, Algorithms); data science and data analysis (Data Science in the Wild, Causal Inference), or urban computing and design. Candidates for the position should hold a
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is launching a new strategic plan in 2024-2025. For more information, visit https://www.kennesaw.edu/ . Location Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our
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. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and
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, centers, and programs at Georgia Tech, including Georgia Tech AI4Science Center , and PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE
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algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic
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, quantum computing algorithms/architectures, applications of quantum computing; or 2. Quantum photonic integrated circuits. Candidates must hold a Ph.D. in Electrical Engineering, Computer Science, Physics