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within a Research Infrastructure? No Offer Description Context From cement production to food processing, rotary drums are widely used industrial equipment to perform different unit operations on granular
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probabilistic computation on modern hardware. This requires theoretical and methodological advances. Broadly the project relates to Statistics, Probability, Monte Carlo, numerical methods, Stochastic Processes
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of Research ExperienceNone Additional Information Eligibility criteria The applicant should have a PhD in astrophysics or an equivalent qualification (e.g., in signal processing and machine learning). Skills in
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learning. Collaboration across computer science, signal processing, and musicology fosters innovation in both technical development and artistic expression. 1.5. References [1] Evans, Z., Parker, J. D., Carr
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analysis of unconventional integro-differential equations, and related stochastic processes, from evolutionary biology. The PhD student will also interact with other members of the ERC project. The thesis
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; Signal Processing; Automatic Control; Applied Mathematics. Expected skills: - Proficiency in scientific computing software for algorithm prototyping: Python, Julia, Matlab, etc. - Mastery of computer tools
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, micro/nano-fluidics and data processing. Please contact us as soon as possible, enclosing a full CV and your transcripts for the last academic three years: Monitoring severe infections using miniaturized
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qualities. The development of manufacturing processes has made it possible to make this glass extremely transparent, with light being able to propagate over 100 km before losing 99% of its initial intensity
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
manufacturing robotics. The targeted application is the automatic positioning of a carbon fiber fabric in a concave-shaped mold to facilitate the manufacturing process of composite material parts. This step
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broadcast communication protocols. Solid background in signal processing, probability, statistics, and optimization techniques. Experience with mathematical modeling of communication systems. Basic