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(HPC) for biological simulations and analyses; multimodal data integration and analysis; new approach methodologies (NAMs). Precision Medicine and Biomedical Data: spatial transcriptomics and spatial
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to support RNA-seq, single-cell, and spatial analyses; select and justify methods appropriate to each study design and dataset. · Operate effectively in high-performance computing (HPC) environments
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Orchestration Services Familiarity with HPC Cluster Administration and CI/CD tools (Azure DevOps) Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform (AWS CloudFormation or Azure
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., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines . Build reproducible, well-tested, and automated workflows using
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resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources
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for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive
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faculty with extensive awards and projects on both national and international levels. Our faculty is a national leader in AI research and is equally strong in high-performance computing (HPC), security, and
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supports projects spanning AI, environmental science, HPC, and data management, helping stakeholders turn ideas into impactful results. The QA Analyst will play a key role in ensuring the reliability
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2026, UTC will deploy a state-of-the-art scientific computing and storage infrastructure, comprising a high-memory, GPU-enabled HPC computing node and a modular, scalable RAID-based storage system
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High-Performance Computing (HPC) system. - Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials to communicate research findings