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, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. The selected candidate is expected to have good communication skills and the ability to work
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for postdoctoral research in systems epidemiology
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression
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and research protocols to assure personal, lab safety, and research volunteer safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming a mentoring
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research journals. Minimum Qualifications Education Required: MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in immunology, genetic
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, bioinformatics, computational biology, or a related field Strong data analysis skills with no required postdoctoral experience Hands-on experience with single-cell RNA-seq data processing and analysis pipelines
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single-cell transcriptomic and proteomic data to identify novel immunoregulatory targets. Collaborates with a multidisciplinary team including computational biologists, clinicians, and immunologists
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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emergent concerns as the research is underway, and assess the utility of existing ethical frameworks for brain organoids in research practice. Bringing together approaches from science and technology studies