106 high-performance-quantum-computing Postdoctoral positions at The Ohio State University in Ireland-University-Ranking-2024
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interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing, reproducible workflow development, scientific manuscript preparation, or collaborative
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data analysis
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Quantum Information Science and Engineering (QISE). This prestigious fellowship is hosted by the Center for Quantum Information Science and Engineering (CQISE) at The Ohio State University. The ideal
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. Prior work with biological or biomedical imaging data, and comfort collaborating with domain scientists. Experience running work on high-performance or cloud computing resources. A record of contributing
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. The Post Doctoral Scholar will take a leading role in the operation of a novel THz microscope for the investigation of two-dimensional quantum materials and devices as well as low-temperature cryogenic
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arthritis (RA) through the integrated study of immune cell function and RNA regulatory mechanisms. The successful candidate will combine advanced immunological approaches with genomic and computational
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(LHCb) physics program at the Large Hadron Collider (LHC). This group is actively participating in the design and realization of various hardware projects in support of the LHCb and electron ion proton
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despite having normal or near-normal audiometric hearing thresholds. The successful candidate will contribute to all aspects of a multisite clinical research program designed to evaluate the impact of low
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cancer genomics resources and databases, including The Cancer Genome Atlas, cBioPortal, Genomic Data Commons, dbGaP, GEO, and related resources. Experience with high-performance computing, cloud-based