45 parallel-and-distributed-computing-"Multiple" Postdoctoral positions at The Ohio State University
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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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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects
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written communication skills. A collaborative mentality towards research and mentoring. Desired skills and techniques include experience in parallel computation and advanced numerical programming, using
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Program Department: Medicine | Pathology Post Doctoral Scholar position in the laboratory of Hiroki Taniguchi Ph.D. Research focus is on understanding the molecular, cellular, and circuit mechanisms
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of highly specialized mass spectrometry assays to support immuno-oncology and cancer biology research initiatives, collaborating closely with a multidisciplinary team of computational biologists
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| College Administration We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary collaboration between Dr. Yuan Xue (Department of Biomedical Informatics) and Dr. Andréa
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
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to multiple audiences: academic peers, policymakers, community groups, or corporate stakeholders. Must possess strong interpersonal skills to co-create knowledge and initiatives across disciplines and roles
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software program (e.g., R, STATA) Demonstrated experience accessing, preparing, and analyzing secondary data Strong interpersonal and communication skills, with the ability to collaborate effectively with
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will also be considered. Strong background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia