35 parallel-computing-numerical-methods-"Prof" positions at Free University of Berlin in Germany
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The doctoral position is located in the Hydrogeology group at the Institute of Geological Sciences (Prof. Dr. Nadine Goeppert) at FU Berlin. Our research focuses on groundwater quality and pollutant
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purification methods - Investigating the structure using NMR spectroscopy, cross-linking mass spectrometry (XL- MS) and electron microscopy - Preparation of scientific publications and reports - Presentation
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further opportunities for interdisciplinary training. For more information about the research and study program, visit: https://www.lai.fuberlin.de/en/temporalities-offuture/index.html Job description
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with significant documents (motivation letter, CV, transcript or records), indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Céline Teney: bewerbungen-ifs@polsoz.fu-berlin.de
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. Numerical models of varying complexity and different observational data sets are used to study atmospheric processes and phenomena on time scales ranging from single weather events to long term climate change
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. Seifert (tom.seifert@fu-berlin.de ) or Prof. Dr. Tobias Kampfrath (tobias.kampfrath@fu-berlin.de / +49 858 57858). Applications should be sent by e-mail, together with significant documents, indicating
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on/experience in solid-state physics, magnetism or femtosecond lasers For further information, please contact Dr. Tom S. Seifert (tom.seifert@fu-berlin.de ) or Prof. Dr. Tobias Kampfrath (tobias.kampfrath@fu
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oligosaccharides using ion mobility mass spectrometry and gas phase IR spectroscopy. Both established techniques are applied and new methods are developed, especially for the differentiation of isomers. As part of
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of chemistry or biochemistry. Desirable: - Experience with protein analysis methods - experience in structural biology - experience with enzymes, particularly glycosidases and glycosyltransferases - experience
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a related social science field (e.g., Psychology, Political Science) Desirable: • Solid knowledge of empirical social research, especially quantitative methods and statistical data analysis • initial