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7 Apr 2026 Job Information Organisation/Company University of Warsaw Department Faculty of Physics Institute of Experimental Physics Research Field Physics » Electronics Physics » Optics Physics
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discriminant models Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analysing and discovering patterns in probability distributions in latent space. We are not accepting
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Position Summary This position involves the development, implementation and refinement of novel image reconstruction methods for photoacoustic computed tomography (PACT). This will involve
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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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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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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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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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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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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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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