49 parallel-and-distributed-computing 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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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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background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia and/or DESI data. Proficiency in
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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
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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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that govern time-dependent spectral energy distributions of black hole accretion disks, applying these models to X-ray and multi-wavelength data to extract empirical constraints on accretion flow physics, and
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community ecology, bryophyte taxonomy, and species distribution models. The results of the work will be used to direct bryophyte conservation efforts. Required: Ph.D. degree in a field of biological sciences
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and