Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 days ago
using various HPC clusters for large scale simulations of complex nonlinear partial differential equations (PDEs). · Experience of publishing research in high-impact, peer-reviewed journals and present
-
geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and prepare reports, ensuring results are published in high- impact, peer-reviewed journals
-
climate modelling. Tasks will in general include implementing the model framework on the department HPC facilities, designing and running simulations, post-processing and analyzing model results, presenting
-
/interest with or prior experience working with NGS algorithms such as PLINK, or experience working in a cloud computing environment or UNIX/linux/HPC cluster. Department Contact for Questions Dr. Bohdan
-
learning packages (e.g. PyTorch, Keras) Experience with HPC and scientific workflow management tools (e.g. Nextflow, Snakemake) Experience with single-cell data analysis (e.g scanpy, scvi), and/or spatial
-
of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
-
scientific computing. Experience running large-scale excited-state simulations on HPC platforms. Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals
-
, Matlab Preferred Qualifications: Experience in thermos-fluids in porous media. Experience in High-Performance Computing (HPC) on CPU or GPU platforms. Experience in mentoring of graduate and undergraduate
-
of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
-
-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and