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Field
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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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including cognitive assessment, neuropsychology, psychophysical testing, eye-movement monitoring, structural and functional magnetic resonance imaging, transcranial magnetic stimulation, and genomic assays
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generation systems. Prior experience with ultrafast laser systems and plasma time-resolved diagnostics. Experience in advanced optical system design and experimentation. Ability to work as an independent
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temperature, and abuse scenarios). These datasets comprise multi-modal, multi-scale measurements, including time-resolved X-ray radiography and tomography, coupled with electrochemical and thermal data
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, contributing to cutting-edge research with relevance to human health. You will support ultra-structural imaging experiments using cryo-imaging techniques such as cryo-SIM and cryo–X-ray tomography, alongside
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion
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integrating new generative models into RL-EDA, such as Generative Flow Networks (GFlowNets [Bengio et al., 2021]) or diffusion models [Lou et al., 2024]. Where to apply Website https://recrutement.univ
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privacy constraints. About the Project The central aim of this project is to pioneer statistical methods for high-dimensional diffusion processes under privacy constraints. While stochastic differential
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-diffusion equations. They will work under the guidance of Charles Collot. They will receive funding for their travels from the FloWAS ERC project. Located in the Paris area, the AGM center gathers researchers
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photonic integrated circuits, optical metasurfaces, optomechanics, micro and nano electromechanical systems, and associated precision measurement, quantum information and future computing applications