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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo
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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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the Research Group “Nonlinear Optimization and Inverse Problems” (Head: Prof. Dr. D. Hömberg) starting as soon as possible. The project is part of a BMBF project concerning industrial scale data preparation
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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality
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100%, Zurich, fixed-term The Nonlinear optics for Epitaxial growth of Advanced Thin films (NEAT) laboratory within the institute of Multifunctional Ferroic Materials in the Materials Department is
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
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and motivated theoretical biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in