-
computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
-
yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
-
-performance computing (HPC) environments and proficiency in MD simulation A commitment to pedagogical innovation and the ability to mentor and engage students in active learning environments Preferred
-
high-performance computing (HPC) environments for process simulations and optimizations A commitment to pedagogical innovation and the ability to mentor and engage students in active learning
-
-reviewed journals. International (overseas) experience is required. Familiarity with high-performance computing (HPC) environments and proficiency in simulation tools such as VASP, Quantum ESPRESSO, Gaussian
-
spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
-
consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
-
. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
-
of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required