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working on interdisciplinary research problems at the intersection of mathematics, theoretical computer science and quantum information theory? Are you interested in algebraic complexity theory, fast matrix
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Do you enjoy working on interdisciplinary research problems at the intersection of mathematics, theoretical computer science and quantum information theory? Are you interested in algebraic
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motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
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controllers and system sizing tools designed for resource-constrained settings. The candidate will be responsible for the design, prototyping, troubleshooting, field testing, and iterative improvement
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experience of the world is continuous. However, it has been proposed that attention samples the input from our senses in roughly 7-8 discrete ‘snapshots’ per second. This theory is supported by many studies
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characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale. They will also contribute to designing large-scale control and readout multiplexing based on cQED
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command of spoken and written English. It is a preference if you additionally have experience in quantum field theory and (chiral) effective field theory. This is what we offer you We offer a temporary
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controllers and system sizing tools designed for resource-constrained settings. The candidate will be responsible for the design, prototyping, troubleshooting, field testing, and iterative improvement
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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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information translation and control 2. Characterizing brain states (conscious, unconscious, etc.) from the perspectives of stochastic thermodynamics and control theory 3. Comparing qualia structures (relational