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to collaborate with doctoral students and interest in scientific supervision of doctoral students Very good written and spoken English Independent, creative, and structured scientific approach with motivation
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optimization. Together with a dedicated partner from bioinformatics you will first survey pairs of drug discovery application problems and corresponding quantum algorithms, before you focus on promising
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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for a wide range of industrial, automotive and energy-related applications. You will have the following tasks: Design concept and development of thermoacoustic microdevices, focusing on optimizing
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researcher in structural bioenergetics (m/w/d) Your tasks Production, purification and downstream optimization of terminal oxidase samples for structural studies via cryoEM. Stable adjustment and spectroscopic
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reactors available at the NTFM group Materials characterization and optimization of MOCVD/ALD processes to enhance the functional properties of ferroelectric and ultrawide bandgap (UWBG) materials. In-depth
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
and constructive working environment for this purpose. Your tasks Production, purification and downstream optimization of terminal oxidase samples for structural studies via cryoEM. Stable adjustment
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, execution, and evaluation of experimental series as well as process optimization Presentation and publication of results and communication with project partners Project management, acquisition of new topics
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institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning