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order model, machine learning, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics
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and spectroscopy). Further information may be obtained from: Dr. Frank Gabel (tel.: +33 (0)4 76 20 75 74, email: gabelfrank@ill.fr ), and from Prof. Dr. Janosch Hennig (tel.: +49 (0)9 21 55 35 40, email
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- Rad) provide continuous but coarse radiative fields (5–30 km). High-resolution sensors such as Sentinel-2, Landsat, ECOSTRESS, and SDGSAT-1 offer fine spatial detail but sparse temporal coverage and
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and technology, as well as practice and theory - spanning both applied mechanical science, sensors and actuators, psychophysics and cognitive science, all in the aim to tackle a fundamental question
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in quantum clocks and sensors. The network offers international secondments, joint training events, and close interaction with an international cohort of doctoral fellows. The doctoral candidate will
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, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics to mechanical engineering
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that shape the design of these circuits. The lab is dedicated to medical algorithmics on the applied research front, emphasising technologies implementable within hospitals. Notably, the lab’s medical image