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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
translational proteomics. Markku Varjosalo serves as Scientific Director of the Helsinki Proteomics Center (HPC), Finland's national proteomics infrastructure. Our research group is located next to the HPC
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and
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the CRC NuMeriQS Research & Infrastructure: Access to and discretionary resources on the latest HPC Systems, such JUWELS or the exascale system "JUPITER" Networking & Exchange: The opportunity to
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technologies. CENTER VISION Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance computing (HPC), autonomous
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analysis, and eQTL analysis. Familiarity with common bioinformatics tools and databases, such as Ensembl, UCSC Genome Browser, and dbGaP. Familiarity with HPC and cloud computing infrastructure
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Position Summary ICERs HPC systems consist of over 1000 nodes, 50,000 cores, 400 GPUs, and 9 PB of storage and supports researchers in many different scientific domains across the campus and the
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. Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure. Desirable: B1. Knowledge of Trusted Research Environments out with or within an HPC environment
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systems. Assist research groups with migrating or scaling workloads to CARC’s HPC systems or cloud platforms when local resources are insufficient. May be responsible for administration and oversight
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can be found on the PI’s website: https://aobol.github.io/AoboLi/ The position builds on the group’s recent development of SIDERIUS, an agentic framework for long-horizon machine-learning development