66 parallel-processing-bioinformatics research jobs at University of Cincinnati in United States
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group of Trauma Surgery in the Department of Surgery at the University of Cincinnati College of Medicine. This position will provide technical support and assistance under the direct supervision of senior
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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culture and bioinformatics. The intended start date, though flexible, is November 1st, 2025 – January 1st, 2026. Essential Functions Conduct research experiments in a particular field within the pre
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culture and bioinformatics. The intended start date, though flexible, is November 1st, 2025 ? January 1st, 2026. Essential Functions Conduct research experiments in a particular field within the pre
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neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat, Bioconductor
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husbandry, routine molecular biology techniques (e.g., nucleic acid extraction and cloning, PCR amplification, histology) and “dry lab” techniques (e.g., basic bioinformatic analyses). The successful
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and/or neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat
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or discipline. May require experience with specialized software programs. Additional Qualifications Considered Experience in bioinformatics is ideal. Physical Requirements/Work Environment Office
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with ab initio methods. Proficiency in software such as VASP, Quantum ESPRESSO, Critic2 and Gibbs2. Experience in high-performance computing and parallel processing. Additional Qualifications Considered
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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and