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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
The candidate should have strong background in image/signal processing, optimization and programming, notions of source coding, information theory would be appreciated. LanguagesFRENCHLevelBasic
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, 2028 730 days Advanced microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution
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: the first project will investigate which neural oscillations are involved in transforming touch from a sensory signal (i.e. where is the touch in space?) into a motor command (i.e. how should I move my eyes
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on the one hand and individual choices and societal processes on the other hand. The substantial problems with which BAGSS scholars are concerned often cross the boundaries of academic disciplines. BAGSS pools
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ecological changes might drive evolutionary processes, how large ecological systems adapt or not to rapid changes, what are the neural mechanisms underlying simple to complex behaviours, how do large animal
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-processing. A background in physics or engineering, ideally with some experience in laser optics, digital signal processing, and electronics, is an advantage. More about the Ring project can be found
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will be held January 8th and January 15th, 2027. Please identify a preferred interview date in the letter of intent. If there is no preference, please indicate that too. We will be flexible with your
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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, advanced digital signal processing and machine learning algorithms, the system will be designed to recognize and characterize building activities, occupancy patterns, environmental conditions, and other
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unreliable predictions and indicate where additional data would be most valuable; studying how such foundation models generalize across related but distinct physical settings, such as changes in boundary