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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters
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by a committee of three supervisors. Doctoral researchers also benefit from a structured, well-funded training programme tailored to their individual needs. The language of instruction at BAGSS is
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choose to write the doctoral thesis in either language. Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Check for current openings on our website
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
Overview: ALD Process Development: Design and optimize novel ALD formulations for transi-tion metals, as well as modify existing ALD processes, in collaboration with our re-search partners. A particular
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly
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decision-making in operational settings, aiming to enhance performance and optimize decision processes. Collaboration opportunities with industry partners are available, providing a strong mix of academic
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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
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technology, and process optimization using mathematic modeling - Evaluate modified growth factors under real conditions with medium recycling - Independent work on research projects - Close cooperation with
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Generation Computing and Quantum Computing are future issues that our researchers are dealing with. In times of the Corona pandemic, many departments are and were involved in various anti-Corona projects
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially