652 parallel-computing-numerical-methods-"DTU" positions at University of California, San Diego
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Position overview Position title: Dean of the School of Computing, Information and Data Sciences (Note: the successful candidate should hold an underlying prof-AY title) Salary range: $450k-$500k
-
Position overview Position title: Associate Director for the Master of Science in Business Analytics (MSBA) Program Salary range: A reasonable salary range estimate for this position is $130k
-
Position overview Position title: Assistant Program Director and Head of General Collections Metadata Salary range: A reasonable salary range estimate for this position is $66,160-$159,380
-
Position overview Position title: Professor of Practice / Executive Director of the Master of Science in Business Analytics (MSBA) Program Salary range: A reasonable salary range estimate
-
weather prediction models on high-performance computing (HPC) platforms. Strong background in data assimilation, numerical modeling, and interdisciplinary collaboration to advance forecasting capabilities
-
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
-
. Other responsibilities include method development-modification-parallel testing, collaboration on or preparation of abstracts or manuscripts, repair of laboratory instruments, sample processing, reagent
-
-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
-
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