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Position Description The School of Physics (https://physics.gatech.edu/ ) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for a Postdoctoral Fellow position in Artificial
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Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. Special Requirements: Applicants cannot have received their Ph.D. more than
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on high-performance computing (HPC) facilities and adapt softwares to do so. Develop, benchmark, and troubleshoot new computational approaches, including implementing novel workflows, protocols, and
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SE + robotics / CPS. Experience with safety, explainability, or dependability of AI systems. Familiarity with HPC or large-scale experimentation pipelines. What We Offer A pioneering research team: You
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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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) Reproducible research software (Git, workflow tools, documented pipelines; HPC/cluster use) Track B: High-throughput cell-phenotyping & cell sorting (choose a combination) Flow cytometry / spectral cytometry
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HPC systems Practical experience working with conda environments and Python scripting Motivation to contribute to the development of an open-source molecular modeling platform for soil components Hands
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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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., 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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, project-based innovation, and specialist support come together. Among other things, the teams offer access to HPC and HTC environments, storage, processing and analysis capacity for large-scale datasets