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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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pioneering, cross-disciplinary research that integrates AI, energy systems and advanced mathematics. This position aims to advance the next generation of battery modelling and control strategies by combining
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. Travis Mallard (Massachusetts General Hospital & Harvard Medical School). Both are interdisciplinary projects integrating theory and methods from developmental psychology and quantitative genomics
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
of the subject (e.g. synthesis, characterization, or reaction studies) and/or methodology (e.g. experiments vs. theory). This position will be closely integrated with researchers and engineers who develop, support
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: Quantum simulation with Rydberg atom arrays (theory) Research Area: Atomic, molecular, and optical physics (AMO), quantum control, quantum simulation Relevant Fields: Quantum information science, quantum
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
under study, various aspects of the subject (e.g. synthesis, characterization, or reaction studies) and/or methodology (e.g. experiments vs. theory). This position will be closely integrated with
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in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic
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: The topic of the Master’s degree must be of relevance to the job description Preference will be given to candidates with a multi-disciplinary background consisting of both control theory (or related fields
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constructed. This function will either combine with the energy cost to form a comprehensive cost or serve as an independent constraint. The interactive relationship will be modeled using game theory and
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, Julia. Understanding of one or more of the following areas would be an advantage Optimization Dynamic systems Control theory Power electronics Signal processing Machine learning and data science (various