Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
that is potentially renewable on an annual basis contingent upon satisfactory performance and availability of funding. The mission of CHaRMNET is to develop novel numerical methods that allow us to
-
of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
-
, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
-
environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
-
python), computational mechanics and fluid dynamics, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics
-
, 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
-
. Significant experience using Python for high performance applications with libraries such as: Numpy, Numba, CuPy, and PyQtGraph Significant experience using C++ for numerical computing applications
-
Desired Qualifications Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element
-
an on-call. On-Call allowed to work 1039 hours in any twelve (12) month period. Unit Position Summary The Data Scientist will develop and apply statistical, machine-learning, and computational methods
-
Computing Center Performing quality control, regridding, and time-series alignment across products with differing spatial and temporal resolution Producing figures, maps, and summary tables for