Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid
-
theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
-
provide technical support for supported systems. Plan, design, test, debug, implement, maintain, secure, troubleshoot and document systems and processes in accordance with client and/or department timelines
-
program. This position will be focused on adult diagnostics, adult amplification, and cochlear implants. Responsibilities include but are not limited to the following: Work with specialized
-
attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
-
and software and provide technical support for supported systems. Plan, design, test, debug, implement, maintain, secure, troubleshoot and document systems and processes in accordance with client and/or
-
Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
-
shrimps. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes
-
Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests
-
• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA