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, technology, and sustainability. About research We are looking for an innovative researcher with a background in music cognition, psychology, music technology, or musical data science, ideally with a
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funded by the ERC consolidator grant project CONFSTAT – Conformally invariant and near critical models in statistical field theory. The work of the postdoctoral researcher will focus on studying
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candidate in the intersection of numerical analysis, approximation theory, and machine learning. The goal of this research project is to investigate how far standard proofs in numerical analysis and
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no.: 4259 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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prepare, review and refine theories as appropriate. About You You will have or be close to the completion of a PhD/DPhil/DClin or other professional doctorate degree in a relevant subject, (e.g
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theory, symmetry analysis, and group theory. You will work on developing and applying these ideas to discover new photonic phenomena, implement associated computational tooling, and to find opportunities
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, evolutionary theory, quantitative genetics, data science, toxicology, and law. Within this project, our group at the CRG focuses on the analysis of bulk and single cell RNA-seq from five different model species
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 days ago
40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by (Prof. Dr