35 parallel-computing-numerical-methods-"Prof" positions at Free University of Berlin in Germany
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languages used: C++ 2014, CUDA, Lua Desirable: - interest in high-performance computing with graphics processors (GPUs) and simulation methods - fluent knowledge of modern C++ and a scripting language
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CRC 1114 aims at methodological developments for the modelling and computational simulation of complex processes involving many (more than two) interacting scales, driven by real-life applications
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the framework of the project using statistical methods. - Contribution to academic publications based on project’s results. - Administrative support of the project, its events and activities. The employment
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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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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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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. 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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Dust Analyser onboard the Cassini space probe - Collaboration with a computer scientist who is developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra
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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