Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, manage and administer large-scale high-performance computing systems and networks, which include cutting edge research cluster computers containing a dozen to several hundred nodes, various types
-
for driving the intellectual agenda for the Initiative (and parallel research in India), working closely with Professor Kaur, faculty investigators, and program managers to identify and proactively pursue high
-
curation of specialty specific resources and contribution to the broader advising program. The CSA also supports career exploration for undecided students through engagement with medical student interest
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
. Degree in Computer Science, IT, or a related field, or equivalent experience. Preferred: Familiarity with parallel computing, job schedulers, and high-speed networking. Experience with storage technologies
-
Job Summary #CA-PS Under direction, manage and administer large-scale high-performance computing systems and networks, which include cutting edge research cluster computers containing a dozen to
-
experience of working as a Business Analyst throughout the change lifecycle and on a variety of initiatives. Experience of working within a large and complex transformation programme would be highly regarded
-
, parallel/distributed computing, as well as diverse architectures and understanding of its impact on application performance Knowledge in GPU-based programming and modelling of scientific simulations
-
process. About You Completion or near completion of a PhD in geophysics. Background/skills in finite element numerical modelling, geophysical Inversion theories, optimisation and parallel computing. Skills
-
interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with cluster computing and job
-
maintenance Experience in interpreting raw data streams from radio telescopes or similar data Experience in high performance computing, especially involving massively parallel applications Experience with