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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning, single-cell analysis, and computational modeling of complex biological
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Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through
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. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and
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the process system analysis; and 3) to help developing data-driven approaches for speeding up the screening of materials and the evaluation of the performance of carbon capture processes. The successful
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Algebraic Geometry, Geometric Analysis, and Mathematical Physics to Number Theory, Probability & Financial Mathematics, and Topology, reflecting the department?s deep commitment to both foundational theory
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of Mathematics and Mathematical Statistics, alongside Computational Mathematics, Mathematical Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research
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level mathematics. The Ohio State mathematics major introduces students to the areas of real and complex analysis, number theory, abstract algebra, topology, logic, and many other modern topics
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data science techniques. The Tenure Track professorship will be affiliated with the Faculty of Mathematics under the Key Research Area “Computational Mathematics and Data Science” (https
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-reviewed journals Experience in the sample preparation, acquisition, processing, and resonance assignment of multidimensional solution NMR spectra for nucleic acid/ protein systems and their complexes with
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. Numerical Analysis and Scientific Computing, developing numerical methods and algorithms that are accurate, efficient, and robust with respect to challenges that manifest in the simulation of complex