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Field
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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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properties of controlled mixed lanthanide species. This research is largely experimental but is done in close collaboration with two theory groups. Responsibilities: Oversee the day-to-day operations on
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research across linguistic theories, neuroscience, and language acquisition/processing, we focus on the effects of multilingualism – for the languages involved, for the brains that house them, and for
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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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mine to magnet. What You Will Do: Use and develop minerals and materials databases for computed and measured properties. Predict and control mineral reaction pathways using first-principles
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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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. 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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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization