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Field
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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by developing quantitative methods on transcriptomics datasets from stem cell models
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activities of the newly created VSWT Service Center. The Center aims to take the University of Utah’s VSWT program and its technologies nationwide. The director will carry out the mission and vision
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experience applying these methods on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer
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computational biologists to develop novel bioinformatic and computational methods for understanding the dynamic gene regulations and lineage hierarchies during cardiac, endothelial and hematopoietic development
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inhalation exposures. We use in vitro, rodent, and non-rodent models to achieve our study objectives. We will employ various techniques/methods such as ELISA, multiplex MSD panel assays, flow cytometry, bulk
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for the maintenance of the group’s computing equipment, for training new members of the group in methods that fall under your expertise, and for fielding questions on the WESTPA user’s mailing list. Job Description
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that examines the disproportionate impact of zero tolerance policies and practices on low-income students of color. • Must have a program of research that utilizes both quantitative and qualitative methodologies
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. The ideal candidate will have a strong background in social science research, including quantitative and qualitative research methods, experience in research operations, and a demonstrated ability to
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will develop and apply cutting-edge methods in predictive and causal modeling for age-related macular degeneration (AMD), a primary cause of irreversible vision loss worldwide. This work will involve
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to maintain and operate GCMS and LCMS systems Coordination of major repairs with vendors, and management of spare parts and inventories Maintaining GC/MS and LCMS data system computers and archiving of data