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“PhytoM - Leibniz Professorship for Phytonutrient Management” at the Technische Universität Berlin”: PhD student (f,m,div) in the field of food chemistry Reference number: 09/2025/3 The salary will be based
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alloys, with their vast number of possible combinations necessitates efficient high-throughput experiments to systematically screen materials and understand their properties. We focus und electrochemical
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nanostructured materials, Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis and other analytical methods. Profile: We are looking for highly motivated candidates (m/f/d) with M.Sc. degree in
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materials, Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis and other analytical methods. Profile: We are looking for highly motivated candidates (m/f/d) with M.Sc. degree in inorganic
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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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. The successful candidate will apply learning analytics methods to analyse student engagement, assess the effectiveness of STEM courses, and develop data-driven instructional improvements tailored to the needs
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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simulations Lead the development of a real-time capable software architecture for simulations, as well as processor and hardware-in-the-loop experiments Lead the design and development of an advanced test
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architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development of a state-of-the-art immersive visualization facility Lead the development
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ecology (e.g. pollination, chemical or molecular ecology). • Strong experience with statistical data analyses. • Experience in or willingness to learn analytical chemical analyses and data processing