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Field
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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fuel cells or electrolyzers, H2O2 production, or electrochemical CO2 reduction. To do so, the stability of newly developed catalysts is of pressing concern. You will continue our research line around
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nitrogen fixation at the molecular level. Your Responsibilities: Perform EPR and related spectroscopic investigations of biological and synthetic nitrogenase systems Prepare synthetic iron-sulfur clusters
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German Languages English and German (English preferred) Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No specific
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Cavity Quantum Cascade Lasers (EC-QCLs) regarding the requirements of different measurement techniques to be developed in PROTEMIC. During the second stage at INSUCAPS, the EC-QCL will be applied to study
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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Degree Doctoral degree (PhD) Course location Nürnberg Teaching language German English Languages The course languages are English and/or German. Programme duration 6 semesters Beginning Only
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and sector coupling for a successful energy transition. Our research institute conducts applied research, develops innovative technologies for public and industrial clients and translates
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. Of particular importance is the improved understanding of multi-length scale phenomena responsible for the energy conversion, development and implementation of state-of-the-art lead-free perovskite materials