29 parallel-computing-numerical-methods positions at University of Tübingen in Germany
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” (funded by the German Research Foundation, DFG). PhD Researcher in Computational Linguistics (m/f/d, E13 TV-L, 75%) The position begins on 01 October 2025 and ends on 30 June 2029. The position is
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computer science (e.g. digital technology, chip design, computer architectures, hardware/software codesign, parallel architectures, operating systems). Innovating and improving teaching through new formats and
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evaluation methods for vision models Design metrics to compare neural and behavioral data with computational predictions Collaborate with CRC groups on open, reproducible standards for model evaluation Mentor
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explain the evolution of common ground in humans. For more information about the methods and data, see the following articles: Requirements for employment are a completed M.Sc. or equivalent in a relevant
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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international researchers who would like to continue a promising research program in a highly stimulating research context that values ideas, innovation, and independent thinking. We offer the perfect
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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ecosystem at the heart of Cyber Valley, with Tübingen also hosting the CZS Institute for Artificial Intelligence and Law alongside numerous leading AI research institutions. These include the Excellence
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). Fluency in, and willingness to work on, one of the languages of the project (preferably, French) is expected. Familiarity with corpus and experimental methods would be welcome but is not required. Ability
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catalysis, computational and theoretical chemistry and aims at broad training in synthetic chemistry as well as data-driven optimization of stereoselective catalysts. The project in our group focuses