796 parallel-computing-numerical-methods positions at University of California, San Diego
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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
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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
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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
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, 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
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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
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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
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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
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section of the Department Pathology and Laboratory Medicine. Other responsibilities include method development-modification-parallel testing, collaboration on or preparation of abstracts or manuscripts
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weather prediction models on high-performance computing (HPC) platforms. Strong background in data assimilation, numerical modeling, and interdisciplinary collaboration to advance forecasting capabilities
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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