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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 4 days ago
products including blood, vaccines, allergenics, tissues, and cellular and gene therapies. Research Project: The fellow will contribute to the development of novel scientific, bioinformatics, and AI/machine
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Postdoctoral Fellow in Bioinformatics - (2600003U) The Translational Microbiome & Immune Tolerance Laboratory at the University of Maryland School of Medicine, Center for Advanced Microbiome
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research that together enhance our contribution to society. Job Summary The Najarian Lab in the Gilbert S. Omenn Department of Computational Medicine & Bioinformatics is seeking a Research Fellow to lead
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doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative and statistical skills, with proficiency in R or Python Experience working with
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genome annotation tools. Evaluate input data quality and assess accuracy of gene predictions. Integrate genomics and multi-omics datasets using bioinformatics and computational approaches. Analyze and
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design, analytical plans, and grant development Qualifications PhD, ScD, or equivalent doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative
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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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research that together enhance our contribution to society. Job Summary The Gilbert S. Omenn Department of Computational and Bioinformatics is seeking a Research Fellow in the laboratory of Dr. Naoki Masuda
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to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health. Bioinformatics and Biomarker Analysis in Kidney Disease
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also participate in collaborative studies. The ideal candidate will hold a Ph.D. in bioinformatics or a related field, have a strong record of research productivity (e.g., publications and software) in