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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 6 days ago
, located at Inria Paris and École Normale Supérieure (ENS). The team conducts research in various aspects of quantum information theory, including quantum error correction, quantum algorithms, and the
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patent filings. The work will be centred around topics such as machine learning for communications, communication theory, signal processing for communications, coding theory, and information theory. Your
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. Specific Requirements Knowledge or prior experience in climate modelling, dynamical systems theory, and palaeoclimate dynamics will be considered an advantage. Demonstrated interest in interdisciplinary
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and men. Project overview The project concerns applying supervisory control theory to security in a broad sense, both as off-line and on-line approaches. The work is collaborative in nature, bridging
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good knowledge of sociological theories in the fields of music and arts and of empirical research methods Ongoing publication activity and attendance of conference Specific Requirements Knowledge
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on "Canalization and Other Design Principles of Gene Regulatory Network Models" (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451973 ) and "A mathematical theory for the biological concept of modularity” (https
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that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star properties
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activities. The RAI team is conducting fundamental research in all the aspects of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real
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the lab and approach our work with the same mindset. All of our data and code is open, and we will expect the postholder to adopt open science principles during the course of their stay with the SoCR lab
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mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java