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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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“ mathematics, though we prefer not to make that distinction. Instead, research topics are grouped into eight parts, each covering a broad, but coherent, part of mathematics: Area 1: Geometry and topology Area 2
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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regulation, RNA biology, protein biochemistry, stem cells, bioinformatics, sequence analysis, mathematics, statistics, molecular evolution, or biophysics, and wish to work at the Max Planck Institute
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successful applicants will take part in the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main
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qualification (usually PhD). We are looking for highly motivated candidates with a strong background in theoretical computer science (in particular, algorithm design). The successful applicants will take part in
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experience analyzing omics datasets are advantageous (For bioinformatic-mathematic trait) Good performance in biology courses at university Proficient in English (spoken and written) Self-motivated, committed
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), 39.2 hours/week (100% position). The position is generally suitable for part-time employment. The Leibniz Institute for Prevention Research and Epidemiology – BIPS is one of the leading epidemiological
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for a motivated PhD student with a good knowledge of algorithms and theoretical computer science. The successful candidate will take part in the research and teaching activities at the Chair of Algorithms
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experience analyzing omics datasets are advantageous (For bioinformatic-mathematic trait) Good performance in biology courses at university Proficient in English (spoken and written) Self-motivated, committed