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nationally and federally funded, interdisciplinary research program focused on improving healthcare delivery by understanding and intervening in the human systems behind it. Based in the HEAL and Kim Labs
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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to offer a comprehensive benefits package to all our employees at the University. To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your
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core facilities, performs RNA seq data analysis, and studies nerve response. This role collaborates with Dr. Rutherford and Dr. Shokeen as well. The job includes taking care of the animal models, cell
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. This position is intended to provide mutual support for the development of the Postdoctoral Scholar and their research program with opportunities for grant-writing and co-authorship of research articles, while
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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. Assists in the design of research experiments. Evaluates research findings and assists in the reporting of the results. Conscientious discharge of research responsibilities. Maintains conformity with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
to solve the world’s most pressing health care challenges. We are Advancing Medicine for Life through innovation and collaboration in pharmacy practice, education, research, and public service. Position
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Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation