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partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge
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benchmarking of large language models (LLMs). The research profile of the group is heavily machine-learning oriented and the group has access to excellent HPC infrastructure. For more information about LTG
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, AtomGPT). Working Knowledge Of: • Workflow tools (e.g., ASE) and HPC environments. • Software development in Python, Git-based version control, and Conda packaging. • Data integration and surrogate modeling
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
population genomics, GWAS, and/or QTL analysis. Proficiency in computational/data analysis environments (R, Python, Unix/Linux, HPC systems). Strong communication skills and ability to work effectively within
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: Experience in analyses and interpretation of clinical data in combination with microbiome or other -omics data. Experience with use of HPC clusters and workflow management tools (Snakemake, Nextflow). Strong
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members have access to large-scale computational resources through national and European HPC allocations, and this doctoral fellowship is expected to have a strong experimental component. Candidate
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for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Programming skills in GAMS and Python. Experience with HPC. Experience with