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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with
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to advanced instrumentation and interdisciplinary collaborations A supportive and dynamic scientific environment Participation in symposia and conferences Opportunities for teaching and professional development
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interdisciplinary collaborations A supportive and dynamic scientific environment Participation in symposia and conferences Opportunities for teaching and professional development Theater and culture: special events
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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offer: We are a young and dynamic group with a strong focus on collaboration and mutual inspiration. The laboratory has state of the art biochemistry and molecular biology equipment. Additionally
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. What we offer: We are a young and dynamic group with a strong focus on collaboration and mutual inspiration. The laboratory has state of the art biochemistry and molecular biology equipment. Additionally
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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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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
analysis of the structure and dynamics of macromolecules at the nanometer scale. This includes experiments at 1-nm resolution and with Angström measurement precision. The successful candidate will work
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at the Clinic for Radiology! We are seeking a highly motivated PhD student to join our interdisciplinary research team investigating the dynamics of immune cells in cancer. The focus of the project is on single
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-specific inflammation” and aims to develop and apply advanced imaging tools to study immune cell dynamics in murine models of inflammation and cancer. More about our work: https://www.medizin.uni-muenster.de