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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth
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imaging, viral propagation and isolation, immunohistochemistry, performing retinal imaging including ERGs, and have experience in bioinformatics. The applicant should also be proficient in mouse handling
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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antigens. Work Plan Phases Antigen discovery and validation (Months 1–6): Bioinformatic screening (e.g., TCGA, CPTAC), RT-qPCR, Western blot, immunocytochemistry. Conjugate synthesis (Months 4–12
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of working with, and breeding rodent models. Excellent communication skills. An interest in placental and/or fetal brain development and experience of genomics or transcriptomics and bioinformatics would be
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of the following: animal energetics and physiology, tissue level physiology, molecular biology, mitochondrial energetics, metabolomics, transcriptomics, bioinformatics, field research. Excellent project management
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inflammation, multi-dimensional flow cytometry, and assay development is desired. Experience with bioinformatics analysis is preferable but not essential. Applicants with good organizational and analytical
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work
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techniques. -Experience analyzing omics data using bioinformatic tools. -Proven record of publishing first-author peer-reviewed papers. -Experience working with honey bee biology and/or beekeeping practices
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to discover new treatment strategies and build research capacity in Africa through training and collaboration. We seek a postdoctoral researcher with experience in bioinformatics and single-cell data analysis