Bridging the HPC Talent Gap with Computational Science Research Methods BRIDGE Workshop at ICCS 2016
URL: http://www.sciencedirect.com/science/article/pii/S1877050916310274
Authors: Alexandrov, Nia
Research Lines: Curricula Development and Quality Assurance in Higher Education and Professional Training
Teams: Education and Training
Publication: Procedia Computer Science
Place Published: International Conference on Computational Science 2016 6-8 June 2016, San Diego, USA, Elsevier
Volume / Pagination: 80 / 1777–1779
Paraules clau: Computational Science, Data Science, Research Skills, Talent Gap, University education