68 parallel-and-distributed-computing Postdoctoral research jobs at The Ohio State University
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-borne disease systems. Conduct research on tick distribution and tick-borne disease risk using climate-informed predictive modeling and geospatial analyses, producing hazard maps and decision-support
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, or guides) that advance collaboration and knowledge sharing in vector-borne disease systems. Conduct research on tick distribution and tick-borne disease risk using climate-informed predictive modeling and
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Information Science and Engineering Department: ERIK | Center for Quantum Information Science and Engineering The Center for Quantum Information Science and Engineering (CQISE) is a University Center focused on Ohio
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(e.g., cryoSPARC, RELION, Phenix, Coot). Expertise in computational modeling and structure-based protein engineering. Strong interest in AI-based protein design approaches. Prior research experience in
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, Alzheimer's disease and ALS. The lab uses computational approaches to analyze genomic, transcriptomic, and clinical data from blood and brain tissue samples to identify disease biomarkers and cell-type-specific
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Humanities - Department of Linguistics Department: Arts and Sciences | Linguistics The Department of Linguistics, in collaboration with the AI in Arts and Humanities Program in the College of Arts and Sciences
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QUALIFICATIONS AND EDUCATION: Skillful with cryo-EM data processing and structural refinement software (e.g., cryoSPARC, RELION, Phenix, Coot). Expertise in computational modeling and structure-based protein
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The College of Education and Human Ecologys Center on Education and Training for Employment (CETE) Post-Doctoral Scholar will support the centers new research and development program in Artificial Intelligence
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links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research activities and approaches
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, Alzheimer's disease and ALS. The lab uses computational approaches to analyze genomic, transcriptomic, and clinical data from blood and brain tissue samples to identify disease biomarkers and cell-type-specific