10 parallel-computing-numerical-methods-"UNIS"-"Humboldt-Stiftung-Foundation" positions in United States
Sort by
Refine Your Search
-
the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and
-
relating to research developments in computer science, and technological applications of computing. Core topics include – but are not limited to – fundamental computer science, numerical methods, computing
-
and a balance of personal and professional values. In addition to a vibrant and highly competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate
-
include double blind, randomized, placebo, controlled-trials, crossover and parallel trials, observational trials, case-cohort trials, longitudinal and cross-sectional trials and community-based
-
trials and community research studies in the Smilowitz Lab. These studies include double blind, randomized, placebo, controlled-trials, crossover and parallel trials, observational trials, case-cohort
-
targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
-
offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the School of Medicine. Why work for the University? We have AMAZING benefits and offer exceptional amounts
-
competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the CU School of Medicine. Why work for the University? We have
-
professional values. In addition to a vibrant and highly competitive residency program with 25 positions, we offer 10 fellowships and participate in numerous graduate schools and the MD/PhD program of the CU
-
the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and