Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Western Michigan University
- New York University
- The University of Memphis
- Florida Gulf Coast University
- Auburn University
- Indiana University
- Institute for Basic Science
- Princeton University
- Texas A&M University
- University of California San Francisco
- University of Florida
- Bilkent University
- Framingham State University
- James Madison University
- Marquette University
- Michigan State University
- NIST
- North Carolina State University
- Oak Ridge National Laboratory
- St. Olaf College
- Texas A&M University System
- The Chinese University of Hong Kong
- The University of Chicago
- University of Maryland, Baltimore
- University of Michigan
- University of Minnesota
- University of South Carolina
- University of Texas at Arlington
- Virginia Tech
- 19 more »
- « less
-
Field
-
to search literature demonstrating an understanding of scientific, experimental and/or research theory to assist in the design of methods, procedures and/or techniques. Ability to identify data to be
-
quantum information theory, algebraic topology, polyhedral combinatorics, graph theory, and optimization are strongly encouraged to apply. For more details on the project, visit open positions page . To be
-
., optimization, dynamical systems, graph theory, probabilistic modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks
-
tools from remote sensing, Geographic Information Science (GIS), graph theory, and data science to address complex research questions. Analyzes both aspatial (e.g., tabular) and spatial (vector and raster
-
tools from remote sensing, Geographic Information Science (GIS), graph theory, and data science to address complex research questions. Analyzes both aspatial (e.g., tabular) and spatial (vector and raster
-
Machine Learning in particular. Candidates with research interests in the analysis of complex, dependent high dimensional data and the use of graph theory and combinatorics for high dimensional statistical
-
full-time faculty members, whose principal research areas include Algebraic Semigroup Theory, Graph Theory, Mathematical Modeling in Medical Decision-Making, Mathematical Physics, Representation Theory
-
differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
-
analysis, advanced linear algebra, graph theory, measure theory, abstract algebra, combinatorics, and topology. The success of the department can be attributed in part to the fact that each of us subscribes
-
probability, random matrix theory, random graphs, stochastic analysis, and stochastic processes. Preference will be given to applicants with demonstrated research interests or expertise in the development