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2861 "Planar Carbon Lattices" (https://rtg2861-pcl.chm.tu-dresden.de ), which is a collaboration between TUD Dresden University of Technology and Friedrich-Alexander Universität Erlangen-Nürnberg (FAU
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Training Group 2861 “Planar Carbon Lattices” ( https://rtg2861-pcl.chm.tu-dresden.de ), which is a collaboration between TUD Dresden University of Technology and Friedrich-Alexander Universität Erlangen
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). The position is offered within the Research Training Group 2861 “Planar Carbon Lattices” ( https
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- WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). The position is offered within the Research Training Group 2861 "Planar Carbon Lattices" (https://rtg2861-pcl.chm.tu
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Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses on the mathematical analysis of kernel-based methods, in particular their interpolation and
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation, and robotics. Consequently, a MUDS student will learn
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program, which includes tailored training, workshops, retreats, and conference travel. You will have access to cutting-edge laboratories and theoretical methods, individual supervision, and a wide range of
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epithelial cells and neurons in the intestine. The applied techniques will include molecular and cellular biology methods (e.g. neuroepithelial co-cultures, organoid cultures), advanced imaging (e.g
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using