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Field
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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independently and the initiative to follow new ideas. Motivation to pursue career development opportunities (e.g. applying for Fellowships and Awards, promoting your research, networking, etc.). Strong verbal and
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data and decision science across the College. Areas of research interest in the Cluster include but are not limited to Earth system monitoring and forecasting, decision analysis and dynamic programming
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Consortium and host extensive supercomputing resources, including the "Cosmology Machine", some of which is part of the DiRAC national supercomputing facility. Further information may be found at http
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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analysis directed by scientific questions in the social and health sciences. The scope of the position is open. Potential projects include, but are not limited to: Improving data collection efficiency and
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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Posting Link https://www.ubjobs.buffalo.edu/postings/55485 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis