Sort by
Refine Your Search
-
candidates with expertise in Operations Research, Management Science and Business Analytics with a focus on fundamental research in combinatorial and stochastic optimization for business applications. In
-
of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component
-
algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer
-
University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
-
NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form