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of atomic-resolution structural and spectroscopic data. Your Profile Completed qualification to enroll for the Master thesis in Physics or Materials Sciences, with a good track record Willingness to
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surrogate models and experimental data from a pilot-scale settler are available. The project offers close supervision from doctoral researchers in machine learning and process control. Your Profile
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synthesis protocols Performing microscopy, scattering and rheology exepriments Analysis of experimental data Preparing scientific publications Participation in conferences in Germany and abroad to presenting
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Test lower-cost technologies and integrate them into existing global networks Enhance data transparency to improve observation-derived indicators for policy and compliance Your Profile Hold an MSc in
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tips and samples, including cleanroom nanofabrication Conduction of experiments and data analysis Work in an international group environment Collaboration with internal and external project partners
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quantitative methods, data analysis, or modeling is an advantage Very good command of written and spoken English with extensive vocabulary is required (at least C1 level according to the CEFR ), ideally
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for dedicated implementations of latent reasoning. These investigations will be grounded in hardware through co-design of neuromorphic hardware to improve accuracy, latency, data efficiency, and energy
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Evaluate and analyse data to understand the measured air composition Improve ozone pollution predictions using total reactivity measurements Publish your results in international journals and present them
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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applications and algorithms that can leverage associative memories, including machine learning and LLMs, genomics, and classical data science methods (tree models, decision trees, finite automata). We