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Field
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, because the patient becomes a source of ionizing radiation during surgery, this technique raises important radioprotection concerns that must be addressed in optimizing the clinical protocol. Monte Carlo
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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will contribute to a better understanding of surface annealing processes, with the goal of achieving optimized control over the final material state, taking into account its crystalline structure as
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for chemical optimization through the massive use of digital technologies. The research fellow will join a multi-disciplinary and international team at the research institute CEISAM, working on the development
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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system. To achieve this, the PhD will combine: instrumental development (optical optimization, illumination strategies, multi-camera synchronization), optical modeling (contrast mechanisms in phase
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of neuronal and vascular responses; Contributing to the instrumental development of the system (optimization of detection, illumination control, multi-camera synchronization); Analyzing and interpreting
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Fluidichem, a French startup responsible for flow chemistry, Artificial Intelligence (AI), and automated synthesis aspects to optimize domino reactions. The high-throughput synthesis robot will provide
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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approach combining: • The implementation and optimization of environmentally friendly extraction processes, • A fundamental understanding of the associated inhibition mechanisms, and • Life-cycle analysis