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Field
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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quality data analysis combining rigorous uncertainty treatments with a fundamental understanding of data from quantum field theory. The AIPHY program brings together experts from particle physics and
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control theory? Are you interested in working with next generation high-tech systems? The main challenge lies in the reliable operation of the entire system, where many interconnected modules affect each
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scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory
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strategies will be modeled to determine prices and resource exchange policies. To this end, continuous game theory will be implemented to generate compensation strategies among the actors associated with
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trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first
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ramifications in condensed matter theory, machine learning, quantum materials, chemistry, as well as quantum technology. Job description In this role, you will be at the forefront of addressing several
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the Public Administration and Governance unit, and explore issues that investigate and address whether and how AI technologies challenge traditional legal concepts, principles and theory. Examples include
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus