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biological and medical research questions. Strong expertise in (Bayesian) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies
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of the mathematics underlying machine learning (linear algebra, statistics, calculus). Scientific Expertise: Deep understanding of dynamical systems, recurrent neural networks, and machine learning in
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mathematics, physics, scientific computing, remote sensing, geoinformatics or a related field A solid foundation in machine learning and relevant mathematical methods, including linear algebra, probability
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Looking to advance the frontiers of research in computational
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topics include, but are not limited to, all areas of applied mathematics: linear algebra, calculus, differential equations, control theory, fluid dynamics, stochastic modeling, and numerical methods
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topics include, but are not limited to, all areas of applied mathematics: linear algebra, calculus, differential equations, control theory, fluid dynamics, stochastic modeling, and numerical methods
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Processing, and Data Analytics. STADIUS excels in combining fundamental and applied research. It develops mathematical engineering tools and numerical algorithms from linear algebra, statistics
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topics include, but are not limited to, all areas of applied mathematics: linear algebra, calculus, differential equations, control theory, fluid dynamics, stochastic modeling, and numerical methods
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 14 days ago
, Physics, Aerospace Engineering, or a closely related field. You have a solid foundation in numerical analysis, partial differential equations, and numerical linear algebra. Theoretical and Practical
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
fundamental and applied research. It develops mathematical engineering tools and numerical algorithms from linear algebra, statistics, optimization, machine learning, and AI, applying them to advance