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Incubator, a hub for generating new initiatives and ideas that drive broad-based thought and policy change. Job Summary Reporting to the Department Chair, the Program Director will oversee the Kenneth C
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sciences and mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical materials
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, Molecular Biology, Plant Biology. Experience: Training in Molecular and Plant Biology beyond the PhD. Significant publications on research in plants. Technical Knowledge or Skills: Knowledge of basic computer
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to ensure that they are consistent with University policy and applicable laws and regulation. Communicates and collaborates with University departments, and teams within URA as well as technology transfer and
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these ways our department can contribute to the development of genetics as a science that can help us all create a more enlightened and just society. Job Summary The job performs interpretation of genetic
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support for proposal development, pre-proposals, or Letters of Intent (LOIs), Just-In-Time (JIT) requests and assistance navigating sponsor policies and interpreting guidelines. URA Sponsored Program
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. Maintains good working relationships across the research project, including working closely with Dr. Meltzer, CCP research and the analytics team. Works with the informatics team and data programmers
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impactful research in various domains, including the Biological Sciences. The Biological Sciences Division is at the forefront of cutting-edge research and the Research Administration Office plays a pivotal
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of the University as well as the technology tools available to Advancement, including Phoenix, the University's Donor Relationship Management System. Proficient in Microsoft Windows computer environment, Microsoft
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Education: Bachelor’s degree in computer science, cybersecurity, information technology, or a relevant field. Experience: Three or more years of experience as an architect in information technology