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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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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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Description of the workplace The Department of Electrical and Information Technology conducts high-quality research in a variety of areas in Electrical Engineering, ranging from pure theoretical
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of quantum computers, and resource theory for quantum computation. They will carry theoretical studies using both analytical and numerical tools, in these subject areas. They will also interact with
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on experience with ultrashort pulse lasers and time-resolved spectroscopy. Basic knowledge of the non-linear spectroscopy theory. Familiarity with complex data analysis Programming skills (for example, Matlab
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. mathematical modelling of biological systems. More specifically, you will work with mathematical modelling of metabolic networks, using theory from metabolic flux analysis of mass spectrometry data. You will
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). Qualifications The candidate must have a PhD in mathematics. In addition, knowledge of classical L2-methods in complex analysis and pluripotential theory is required. Familiarity with multivariable residue theory
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of analysis, but also areas of mathematics where analysis is a dominating characteristic. Examples of the latter include subareas of dynamical systems, geometry, mathematical physics, partial differential
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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About the Position The division of Gender Studies is an interdisciplinary unit within a larger department that also includes Sociology and Social Anthropology, located at the Faculty of Social