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. Designs and executes computational workflows for SV and TR discovery, merging, harmonization, and interpretation across large cohorts. Works independently to drive multiple concurrent projects, including
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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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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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doctoral graduate of a psychology program who is seeking licensure. Most of the resident’s time will be spent delivering clinical services with the remaining time spent in a combination of receiving and
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ensuring access to primary samples from a diverse, nation-wide pool of patients. Our high-throughput science is enabled by state-of-the-art facilities for next-generation sequencing and high-performance
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the genome (from GWAS), with a focus on metabolic traits. We accomplish this through an interdisciplinary combination of molecular/cellular and computational approaches. We generate multiple high-throughput
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-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances