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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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, reproducible pipelines and HPC workflows campus-wide. Retain 25% of protected time to develop their own research program. Staff Scientists at ISTA (www.ista.ac.at ) pursue collaborative projects on fundamental
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prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot
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Learning codes using high performance computing (HPC)” Specifically, the candidate will carry out research tasks for the design, implementation, and evaluation on HPC systems of parallel algorithms in
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on GPU clusters and cloud HPC/ADK Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning Collaborate with machine learning experts and computational
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC
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resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international collaboration. How to Apply The University only accepts online application
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tools, including HPC for Project support, independent x-check analysis and R&D activities; establishing and implementing standards in the propulsion and fluid mechanics domain; providing the focal points
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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
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and eager to embark on a research career at BCAM, this opportunity is for you. Apply now and become part of our dedicated team at BCAM. Where to apply Website https://joboffers.bcamath.org/ Requirements