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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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Responsibilities: The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin. The professorship includes the opportunity of establishing and leading a newly founded...
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The Planetary Sciences and Remote Sensing research group at the Institute of Geological Sciences at the FU Berlin participates in various experiments in space missions of ESA, NASA and JAXA. In our
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: economic sociology, historical sociology, (historical) political economy, historical social science, computational sociology - advanced skill in quantitative, statistical methods (R, stata, Python), ideally
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medicine in accordance with the German Veterinarian Licensing Regulations (Verordnung zur Approbation von Tierärztinnen und Tierärzten), and cover teaching in the equine science bachelor’s degree program
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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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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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), 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