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absorption/fluorescence and scattering experiments at X-ray free electron lasers. Your focus will be to derive new algorithms for interpretation of the scattering data by introducing chemical force-fields via
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a big plus: Relevant publications (and/or M.Sc. thesis) on the above-mentioned research topics Programming Microcontrollers and Interfacing Sensors Machine Learning Algorithms and Deep Neural Networks
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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 22 hours ago
distributed optimization with noisy communication channels, accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software
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, which allows for a preferred writing of elements and strong algorithmic properties, is very useful, but only few examples are known. Thomas Haettel (with Jingyin Huang, Duke Math. Journal, 2024) recently
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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Collider? We look forward to your application! As a PhD candidate, you will conduct fundamental research in experimental particle physics, perform data analysis and develop object reconstruction algorithms
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require the design of architectures suitable for real-life problems. Moreover, appropriate mathematical methods, algorithms, and applications are required. Simulators are a recognized method for
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provides a unique opportunity to work at the intersection of AI and experimental science, combining fundamental algorithmic development with real-world applications in scientific imaging. Due to limitations