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Field
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position in the field of Machine learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 1 day ago
applications Supervision over students Specific Requirements M.Sc. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline Background in statistics, machine and/or deep learning
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sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required. Interest and previous experience in developing mechanistic models
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the field of Earth Sciences, and have an introductory knowledge of principles of physical volcanology. A minimum of statistical knowledge and programming skills will be highly regarded. The successful
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control problems in, for example, financial and energy markets, Collaborate with a team of experts in fields such as stochastic analysis, statistics, finance and computational science, Participate in
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Integreat, a Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre
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interdisciplinary and combines mathematics and statistics with applications in medicine. A substantial part of the research will therefore be done in close collaboration with infection control practitioners
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largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts
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in molecular simulation is desirable, as well as a good knowledge of associated theoretical tools (statistical physics, etc.; programming experience including: Python, Fortran, C, C++, etc.). A good
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and theoretical skills in statistics and proficiency R programming Strong experience or interest in big data, preferable, omics data analysis. Fluency in English LanguagesENGLISHLevelExcellent