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Responsibilities: The successful applicant will cover research and teaching in the field of applied mathematics with a focus on partial differential equations (with a reduced teaching load of two weekly contact hours) at Freie Universität Berlin and lead the “Partial Differential Equations”...
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(at the time of contract) for that position. Job-description: - evaluation of mass spectra from the Cosmic Dust Analyser onboard the Cassini space probe - collaboration with a computer scientist who is
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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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, teach in the subject “Animal Breeding and Genetics, Including Animal Judging” within the Staatsexamen (state examination) veterinary medicine degree program that licenses graduates to practice veterinary
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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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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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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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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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), 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