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worldwide, taking on strategic responsibilities in the setup, operation, and coordination of experiments. Their strong contribution to data analysis, student supervision, and the dissemination of scientific
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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specifically encourages women to apply. For questions regarding the position, please contact Dr. Wiebke Szymczak Email: Wiebke.Szymczak(at)iwh-halle.de Phone: +49 345 7753 862 Application procedure Please apply
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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using functional 2D materials. • Organic synthesis and typical characterization methods, as NMR, FTIR, MS, EA, UV-vis and fluorescence spectroscopy. • Methods for 2D materials processing and
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
at the University of Oldenburg and involving national and international partner institutions. As a diverse and international team of scientists from biology, physics, chemistry, computer sciences and social sciences
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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transport to Wettzell, installation, optimisation, operation, enhancement, measurement campaigns during the ACES mission, data analysis. The scientist will also contribute to enhance the performance of and