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beamlines. The Imaging Beamline P05 is optimized for micro- and nanotomography techniques with a strong focus on material science and life science applications. The full field nanoCT setup is one
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spectroscopic techniques [Two-Dimensional Electronic Spectroscopy (2DES), Transient Absorption, and Transient Fluorescence (with a Streak camera)]. To run, maintain in good condition and optimize when needed
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of research excellence is expected. Strong French and English communication skills, both verbal and written, are required. Key duties: Successful candidate is expected to: Develop and optimize lipid
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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: Define the critical engineering requirements (optical pulse duration, terahertz crystal materials in cryogenetic environments, signal-to-noise ratio optimization, entanglement witnesses and verification
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(AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes
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electrode materials, as well as expertise in electrode characterization for electrochemical synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical
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by evolving different strategies to optimize interactions with their microbial environments to maximize fitness. Our long-term goal is to investigate fundamental mechanisms of defense optimization
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, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish