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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The fellow will be involved in bioinformatics and statistical analysis in genetics
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the postdoctoral position, the candidate will evaluate and integrate existing tools and databases into high throughput pipelines and facilitate the display and the distribution of processed data. The data generated
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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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of custom computer code, and the processing of large-scale simulations using massively parallel resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence
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of quantitative, experimental, and clinical scientists. ● Present complex results clearly and concisely to diverse audiences. Who You Are ● You have a Ph.D. in Computational Biology, Bioinformatics, or a related
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Objectives: The participant will have the opportunity to learn large animal trial management, bioinformatics techniques required for metagenomics and metatranscriptomics analysis. The participant will have the
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the