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, while training faculty and researchers in best-in-class HPC practices.
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tools and best practices. Analyze and integrate multi‑omics datasets. Build and maintain reproducible bioinformatics pipelines (e.g., Nextflow/Snakemake) on HPC infrastructure. Integrate AI/ML models
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
for large radiology datasets in HPC and cloud environments (e.g., SLURM, Kubernetes, AWS). Promote best practices in version control, testing, CI/CD, modular design and documentation. Provide technical
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services, and database systems to support computational pathology workflows Implement software solutions for large whole slide images datasets in HPC and cloud environments (e.g., SLURM, Kubernetes, AWS
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for scientific discovery; integration of HPC and AI and AI-enhanced numerical methods; explainable and trustworthy AI for STEM applications; and mathematically grounded approaches applied in STEM contexts, such as
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geometry, fluid mechanics, scientific visualization, HPC and distributed computing. Substantial experience in programming (i.e., fluent in two or more common computer languages). Demonstrated experience in
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high-performance computing (HPC) infrastructure, cloud computing, and innovative tools and datasets. There will be opportunities to contribute to high-impact research and co-author publications
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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
-Performance Computing (HPC) environment. Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git
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. Structural Biology/Inference: Familiarity with HLA inference algorithms and epitope prediction models. Cloud & HPC: Experience interacting with High-Performance Computing clusters (LSF) and strong experience
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effectively and responsibly. Labs are at the center of an articulated organization: Collaboration: Collaboration and cross-fertilization between labs are strongly encouraged. HPC & AI Supercomputing Resources