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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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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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, the purpose 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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. Expenses incurred in attending interviews can be reimbursed. Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about
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or directly inside the cell. This approach requires biochemistry or cell biology for the sample preparation and scripting skills for the ET data processing. For more information, please read PMID33762348
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conditions and under the impact of the food supply chain, including food processing. In this context, the aim of the PhD project is to investigate the influence of drought stress on sulphur-containing plant
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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ties with the local experimental groups of TUD and the institutes of the DRESDEN-concept environment. The chair hosts its own computer cluster and has full access to the high-performance computing
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processes that produce energy and raw materials. The Department of Radiation Research on Biological Systems is looking for a PhD Student (f/m/d) to investigate the impact of ionizing radiation on mammalian
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Description Location: Hamburg, Germany Positions: PhD positions in interdisciplinary climate research Application Deadline: 15 September 2025 Start Date: (from) March 2026 Financial Support