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., Bayesian, hierarchical, time-series), experience with sensor-based data (such as eye tracking, EEG, and heart rate), and proficiency in computational workflows, including distributed and GPU-based systems
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disease insights. The lab has state-of-the-art computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224
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Institute (DSAI). The RSE will report to the DSAI Director of Engineering while also having a dotted line reporting relationship to the RSSN Program Manager. The RSSN role is currently funded for two years
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Engineers. Serve as liaisons with Princeton High Performance Research Computing (HPRC) staff on GPU cluster-related issues. We prioritize professional development for RSEs and offer the following
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of spikes by a model Develop proxy apps representing the different processing stages of spiking network simulation code (targeting CPU and accelerators such as GPU or IPU) Systematic benchmarking of proxy
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of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and advanced microscopy. This position offers an excellent opportunity
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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by logging into their existing Workday employee account. Position Summary: Florida Atlantic University seeks a highly computational Postdoctoral Fellow to design and implement real-time, photorealistic
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Requisition Id 15878 Overview: The Field Intelligence Operations Division invites candidates to apply to join the team as a Senior High Performance Computing (HPC) Engineer for Classified
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computing, electronic, fabricating, testing, printing, and word processing. High speed computing facilities are available at the National Supercomputing Center for Energy and the Environment hosted in