800 parallel-computing-numerical-methods positions at University of California, San Diego
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
skills in High Performance Computing (HPC) simulations using MITgcm (MIT General Circulation Model) and other numerical models. Incumbent will display a high degree of proficiency in the analysis
-
, statistical, and numerical modeling and analysis of watershed systems, thorough knowledge of computer coding, and strong communication skills. Will also conduct scientific research to enhance hydrologic
-
evaluation projects throughout the state, including the evaluation of California's TUPE (Tobacco Use Prevention Education) program. Under general supervision, work as a Lead Research Assistant for Kick It
-
. Other responsibilities include method development-modification-parallel testing, collaboration on or preparation of abstracts or manuscripts, repair of laboratory instruments, sample processing, reagent
-
implementing weather and climate observations, numerical models, machine learning methods, and decision support tools focused on atmospheric and land-surface conditions related to extreme events and their
-
-wide transactions such as processing up to 5000 lab coat orders annually for various departments. The Administrative Assistant II will have responsibility for determining procedural methods of work
-
the management of national and campus-level high-performance computing (HPC) clusters and their associated storage systems, including large parallel file systems, NFS file servers, and underlying storage
-
and/or technical data and write clear, cogent communication of technically complex concepts and methods. Participates in the design/development of complex MEG database systems. Implement methods and
-
weather and climate observations, numerical models, and decision support tools focused on atmospheric and land-surface conditions related to extreme events and their impacts. CW3E is an interface between
-
climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, machine learning algorithms, and decision support tools focused on atmospheric and