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Field
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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"AirMetro - Technological & Operational Integration of Highly Automated Air Transport in Urban Areas" (RTG 2947) , funded by the German Research Foundation (DFG). This interdisciplinary group, involving five
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Description Reference number 3701 Pay grade E 13 TVöD Place of work Berlin Limited for three years Application deadline 11.06.2025 Apply here BfR job [jsp?id=003701en&dbv3_man=allgemein-Datei
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in and readiness to engage in transdisciplinary cooperation Very good English language skills, (C1/CEFR or above) and language of the region of study A high personal motivation for scholarly work and
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organizational skills Ability to show initiative and work independently Very good cooperation and communication skills and the ability to work as part of a team Very good written and spoken English skills Our
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to leverage high-throughput phenotyping to create knowledge about plant function at the physiological level and use forward genetics approaches to unravel the genetic architecture of root traits. Our most
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mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way. The Department of Modelling and Evaluation is looking for a PhD Student (f/m/d) to work in
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, operation and optimization of fs to ps laser sources Characterization of electrostatic potentials and excited carrier concentrations using off-axis electron holography Mapping of charge carrier lifetimes by
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prokaryotic protein production, purification, and characterization. Familiarity with microbial culture and bioprocesses. Ability to work effectively as a member of an international, multi-disciplinary team. WE