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-dimensional analyses (e.g., R, Python) Expertise with use of High Performance Computing (HPC) clusters, job scheduling software, and a UNIX/Linux environment Excellent written and oral communication skills Pay
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journals. Preferred Qualifications: ● Expertise in microbiome data processing and analysis (eg. amplicon and shotgun sequencing). ● Proficiency in high-performance computing and statistical programming
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administrative framework for performing cellular and animal BSL2, BSL3, BSL4 studies of a range of RNA viruses including flaviviruses, Hanta virus, influenza A viruses, SARS-CoV-2 and other coronaviruses, Ebola
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performance and continued funding. Please note, this position is not eligible for visa sponsorship including H-1B or Green Card sponsorship. This position will provide scientific and technical support for Dr
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collected from these evaluation methods to initiate subsequent trials; assist in normal lab and mouse colony maintenance and organization, supervise other technicians and undergraduate students; and perform
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, publish high-impact work, and build the scientific foundation for an independent research program. Our lab is particularly interested in creating an environment where researchers from different disciplines
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related materials. The research will focus on combining soy-derived monomers with renewable macromonomers to produce high-performance polymer systems with increased renewable content. The ideal candidate
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Biostatistics, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high
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metallurgy, chemical engineering, or a closely related STEM discipline Hands-on laboratory experience in high-temperature metallurgical processing and thermal reaction systems Experience with furnace operation
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. Duties/responsibilities Performing high level theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students (10