119 parallel-computing-"Durham-University" Fellowship positions at Michigan State University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
-
, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface
-
analysis, scientific computing, PDE together with research experience in scientific machine learning, are particularly encouraged to apply. Required Application Materials Applications will be reviewed
-
Position Summary Michigan State University (MSU) invites applications from highly motivated candidates with outstanding publication records for multiple joint Postdoctoral Research Associate
-
University. The position is available starting within six months with two years of funding guaranteed through a recent award from the MSU Foundation Postdoctoral Scholars Program (Link). There is a
-
Position Summary Michigan State University Department of Plant, Soil and Microbial Sciences seeks a Postdoctoral Researcher (100% research) for a 12-month appointment. The successful candidate will
-
systems, including embedded and resource constrained systems with various heterogenous computing topologies Additional responsibilities include Assisting with development of GUI software tools to
-
independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
-
conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
-
Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land management in the