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Science and Technology The Department of Food Science and Technology in the College of Food, Agricultural, and Environmental Sciences has multiple open positions for postdoc research associates for a USDA
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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to manuscript and grant preparation. The postdoc will also help develop a murine model to establish a dose-response relationship between uropathogen burden/catheter biofilm burden and UTI, and will support a
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to
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biomarkers and quantitative imaging methodologies. Job Description: Job Duties Outlined: Research Overview: Work with PI/faculty mentor to develop, optimize, and apply advanced preclinical imaging techniques
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@montana.edu Classification Title Postdoctoral Researcher Working Title Postdoctoral Research Associate Brief Position Overview The Neufeldt Lab is looking for a motivated postdoc to complete a federally funded
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University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas