793 parallel-computing-numerical-methods uni jobs at University of California, San Diego
Sort by
Refine Your Search
-
Listed
-
Field
-
has its own academic program through which students fulfill the university’s writing requirements and which serve as the academic manifestation of the unique focus of each college. These programs
-
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
-
student portal, veterans benefits, financial assistance, Workforce program, and disabled student services. Provide ideas and input on methods to improve the services that enhance the student experience
-
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
-
, perform independently a wide variety of technical procedures in a section of the Department Pathology and Laboratory Medicine. Other responsibilities include method development-modification-parallel testing
-
the use of the machine shop. Provides training in the areas of Computer Numerical Control (CNC) of machinery and general Computer Aided Design and Manufacturing (CAD/CAM) methods as well as Solidworks and
-
disease, non-alcoholic fatty liver disease and primary sclerosing cholangitis by using genetically modified animals, together with the adjusted feeding protocol. Will then perform numerous experiments using
-
CLS, perform a wide variety of technical procedures in a section of the Department Pathology and Laboratory Medicine. Other responsibilities include method development-modification-parallel testing
-
section of the Department Pathology and Laboratory Medicine. Other responsibilities include method development-modification-parallel testing, collaboration on or preparation of abstracts or manuscripts
-
weather prediction models on high-performance computing (HPC) platforms. Strong background in data assimilation, numerical modeling, and interdisciplinary collaboration to advance forecasting capabilities