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infrastructure including digital pathology, dedicated GPU computing and comprehensive in-house platforms for sequencing, proteomics and spatial omics technologies A truly translational research environment where
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and high-performance or GPU-accelerated computing environments. Applying rigorous methods for external validation, transportability, subgroup performance, fairness, uncertainty quantification, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
, QUDA , Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem and Bayesian methods. Experience using DOE computing allocations ( NERSC
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and next-generation sequencing is highly preferred · Experience with single-cell data analysis · Proficient in Linux/Unix-based high-performance computing ( HPC ) environments and job
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CNS tumour cohorts and continuously growing multimodal datasets with linked molecular and outcome data State-of-the-art research infrastructure including digital pathology, dedicated GPU computing
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Göttingen, Niedersachsen | Germany | 19 days ago
interested in. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research
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-time inference within rendering pipelines Minimum Qualifications: • Ph.D. in Computer Science, Visual Computing, Interactive Media, or related field • Strong C++ and/or C# programming expertise
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quantitative data analysis, statistical reasoning, validation and interpretation of results. Experience with FPGA, GPU or accelerator technologies. Familiarity with high performance or embedded
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AI Research Post Doctoral Fellow Posting Number req37416 Employment Type Faculty Faculty Type Research Hiring Department Ctr Adv Research Computing Gen Adm (663B) Academic Location Vice President for
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Computing and Mathematical Sciences Division