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methods, as well as knowledge of botany and phenology, is advantageous. Excellent written and spoken English skills are required. Self-motivated, creative, structured, and solution-oriented working methods
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HPLC-MS, GC-MS experience in the extraction of natural compounds from complex matrices knowledge of the isolation and structural elucidation of natural products experience in the statistical analysis
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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research deals with both emergence and collapse of authoritarian regimes as well as their dynamics and transformation. Job description: The project focuses on studying long-term mechanisms of survival
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of thin-film catalysts Design and construction of a (de)hydrogenation test rig Use of operando FTIR spectroscopy th determine reaction rates Coordination with internal and external project partners from
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on the campus of Forschungszentrum Jülich. Your tasks include in detail: Construction and commissioning of a new test stand for the investigation of the continuous butanediol dehydrogenation under dynamic
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. Founded in 1828, today it is a globally
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on a full-time, contractual basis, with sufficient additional funding for fieldwork. The workplace is Halle (Saale), a dynamic, historical town in central Germany (Sachsen-Anhalt) that is home to
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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a dynamic, growing team in the field of enzyme and protein design Collaborate in the context of a prestigious DFG Priority Programme (SPP2363) Enjoy a vibrant scientific environment at the Weinberg