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of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact
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spectroscopy data and AI, to automatically identify textile fabrics with high accuracy in real-world sorting conditions by (1) defining optimal spectral bands, spatial resolution, and acquisition speed; (2
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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environment. For more information about the Program for Collaborative Doctoral Projects please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering an interesting Collaborative Doctoral
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
reconstituted form 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
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supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you
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partnership with the German Federal Waterways Engineering and Research Institute (BAW); building a fully coupled model that simulates surface hydraulics and subsurface flow with relevant turbulence models and
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health at the highest level. In the science ranking (LOMV) and in the economic result, the UKB is number 1 of the university hospitals in NRW and in 2021 had the third highest case mix index
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to learn the following skills: 1. Ultrasound imaging 2. Transcranial doppler 3. Recording and analyzing physiological data including intracranial pressure using power lab, Moberg, ICM+, or similar software
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to learn the following skills: 1. Ultrasound imaging 2. Transcranial doppler 3. Recording and analyzing physiological data including intracranial pressure using power lab, Moberg, ICM+, or similar software