Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the newly founded Dale E. and Sarah Ann Fowler School of Engineering. More information about the Schmid College of Science and Technology is available at https://www.chapman.edu/science. The Mathematics
-
exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize
-
development of statistical and probabilistic methods for the analysis of complex data and systems. Research topics include distributional modelling, stochastic dependence, extreme-value phenomena
-
Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 18 days ago
-preserving fast FEM solvers for time-dependent PDEs, from fluids to electromagnetics. Job description The Numerical Analysis group within the Delft Institute of Applied Mathematics at TU Delft (see link
-
in frontier areas of Statistics, such as complex and/or large-scale data analysis, complex models, computationally intensive methodologies, or at the intersection of these areas, considering both
-
with about 200 employees. The department has three scientific divisions, Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics. We have an international
-
Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
-
breadth and fluency across the core pillars of the modern mathematics curriculum, from calculus, linear algebra, and probability and statistics through real and complex analysis, differential equations
-
uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics offers excellent
-
theory, machine learning, optimization, and decision-making. The project seeks to develop mathematical foundations and computational methods for the analysis, learning, and coordination of complex