24 computer-programmer-"Multiple"-"U"-"O.P"-"U.S" positions at Free University of Berlin in Germany
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The sociology department at the John F. Kennedy Institute teaches and studies the political economy of the United States in comparative and historical perspective combining data-driven computational
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of new methodologies to discover new concepts and compositions for high-performance electrolytes for emergent electrochemical device...
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of accounting, corporate reporting in a national and international context, and auditing issues. Methodologically, the focus is on quantitative empirical approaches, in particular computer-aided text analysis
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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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university degree (Master’s, Diploma) in a scientific subject (e. g. Mathematics, Computer Science, Physics, Bioinformatics, Data Science, or related fields) Desirable: • Excellent programming skills in Python
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computational models with the "exact" but lower resolution information available from experiments. Job description: - Research and teaching is done on statistical physics and machine learning in physics
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of transnationalization and Europeanization processes are the core research areas of the Institute. The Institute offers the Master’s program "Sociology – European Societies" and the Bachelor's program "Globale Soziologie
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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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vibrational spectrometry (experience with 2D correlation spectroscopy is an advantage) - Basic knowledge of computer-aided calculations - Knowledge in the field of HPLC, mass spectrometry, ion mobility
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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