Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in
-
retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary As the Department
-
differential equations, or stochastic analysis. Understanding of modern machine learning techniques, especially those related to streamed data, transformers, or LLMs. Ability to develop and apply new concepts
-
analysis/control, partial differential equations, set theory, and topology. The department has a long tradition of excellence. The first Ph.D. granted west of the Mississippi was in mathematics at KU in 1895
-
, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
-
methods from the fields of differential equations and/or stochastic processes, as well as computational approaches and/or statistical methods of data analysis. You can find more information about our
-
the fields of differential equations and/or stochastic processes, as well as computational approaches and/or statistical methods of data analysis. You can find more information about our research area and our
-
). A deep foundation in advanced mathematics, including differential equations, linear algebra, tensor calculus, and group theory; and the ability to use these for formal, mathematical reasoning
-
targeting mathematical skills required for further tertiary-level study in the fields of engineering and applied science. Learners develop an understanding of integral and differential calculus, differential
-
candidate will have in-depth knowledge of how to address relevant biological problems using analytical methods from the fields of differential equations and/or stochastic processes, as well as computational