Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CEA
- University of Colorado
- University of Glasgow
- ;
- Brookhaven Lab
- ETH Zurich
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- McGill University
- Oak Ridge National Laboratory
- Simons Foundation/Flatiron Institute
- University of Canterbury
- University of Lethbridge
- University of Saskatchewan
- Zintellect
- 5 more »
- « less
-
Field
-
storage, research data management and training services Providing or arranging training for researchers in specialized areas of Advanced Research Computing, e.g. Big Data processing, parallel programming
-
targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
-
, engineering, materials science, maths, or computer science), or equivalent experience Experience with uncertainty quantification or error analysis Familiarity with numerical methods (e.g., Monte Carlo, Finite
-
plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
-
Knowledge of Matlab, and web-based technologies is of advantage Knowledge in using high-performance compute architectures Experience in implementing and optimizing scientific numeric analysis methods and
-
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
-
system transient simulation concepts. Advanced mathematical knowledge in linear algebra and calculus. Expertise in numerical methods for solving large-scale power system equations. Programming proficiency
-
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
-
; David Plant ECSE 335: Microelectronics; Gordon Roberts ECSE 343: Numerical Methods in Eng; Roni Khazaka ECSE 353: Electromagnetic Fields & Waves; Thomas Szkopek ECSE 354: Electromagnetic Wave Propagation
-
degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel