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clear focus on algebraic coding theory and its applications. Fluency in English is required. Familiarity with computer algebra systems as SageMath or MAGMA is a plus. The candidate should have a strong
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the following. We are aware that it is unlikely that you will have all of these, but we hope you will have at least three. Computational Design Skills (Buildings, products, games etc.) Experience in
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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in
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Section for Computational and RNA Biology, Department of Biology, University of Copenhagen | Denmark | 2 months ago
27 Feb 2025 Job Information Organisation/Company Section for Computational and RNA Biology, Department of Biology, University of Copenhagen Research Field Biological sciences Researcher Profile
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. The department also provides expert advisory services to ministries and authorities. While we do not run a master’s program in environmental science, there are some opportunities for teaching and supervision. We
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The Department of Civil and Architectural Engineering, Aarhus University, invites applications for a 2-year Research Assistant position offering applicants an exciting opportunity to contribute
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by employing state-of-the-art neurobiology in combination with genomics and computational biology approaches. The research in Tiwari lab is supported by a cutting-edge research environment as
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University (www.chem.au.dk ) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of ~30 full and associate professors, a support-staff of ~30 people
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environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. DAWN postdocs receive support for computing, travel, and
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machine learning is emerging as a promising avenue for solving problems in physics and engineering. Particularly, physics-informed neural networks (PINNs) have shown remarkable potential to solve problems