Undergraduate and Graduate Student Opportunities
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NASA - National Aeronautics and Space Administration:
NASA is accepting applications for Pathways Recent Graduate opportunities through the U.S. Office of Personnel Management (OPM), which offers recent graduates opportunities to begin their careers at NASA and other federal agencies.
If you're looking to gain hands-on experience, professional development and mentorship while serving the public, learn more and apply by June 22: nasa.gov/careers/pathways
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The Department of Mathematics and Statistics has an internationally recognized research faculty active in the following areas:
Rings, modules, groups and their representations; applications to combinatorial designs and cryptology, computational algebra
Harmonic analysis, function and operator theory and their interactions; Sobolev inequalities; inequalities involving the Fourier transform; operators on Banach spaces; ordinary and partial differential equations; stochastic differential systems; vortex and climate dynamics with applications to climatic and financial markets
Enumerative and algebraic combinatorics; graph theory; design theory and applications; finite projective planes and their automorphisms; finite geometries, and Euclidean geometry
Post quantum cryptography, in particular code-based cryptography, elliptic curve cryptography (isogenies), lattice-based cryptography, multivariate cryptography, zero-knowledge proofs and blockchains, hash-based cryptography.
Nonlinear dynamical systems, computational topological methods, complex dynamical systems, fractal geometry, mathematical theory of control systems, stability analysis
Constructive mathematics; set theory; higher computability
Multi-host multi-strain epidemiological models, host immune response, nested immuno-epidemiological dynamics, spatial temporal dynamics in epidemiology, reaction diffusion systems, cell motility, time-since-infection structured partial differential equations, age structured pde's, avian influenza, Ebola
Time-series analysis and regression modeling; parametric and nonparametric function estimation; weak convergence of stochastic processes; environmental statistics and biostatistics
Technology in the classroom, integrated curricula, improving performance for pre-calculus mathematics and in mathematics for engineering students
