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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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information about the positions and the recruitment process in the Call for Applications.
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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processes that produce energy and raw materials. The Department of Structural Materials is looking for a PhD Student (f/m/d) in Ion Irradiation and Materials Characterization of Novel Refractory High-Entropy
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of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the https://uni-goettingen.de
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for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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processes that produce energy and raw materials. The Department of Chemistry of the f-elements is looking for a PhD Student (f/m/d) Actinide coordination chemistry with soft donor ligands, subject to final
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you agree to the processing of your personal data. Please use the text module in our privacy policy for this purpose. Without these declarations we cannot consider or process your application and