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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and
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experiments. Develop and optimize sample preparation protocols including flash freezing/ chemical fixation of samples and cryo-sectioning. Process and analyze complex spatial metabolomics datasets. Lead
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optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal Opportunity / Affirmative Action
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culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal
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optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish high-quality
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
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University of Miami Desai Sethi Urology Institute | Miami, Florida | United States | about 1 month ago
:1074-84). We also discovered that abiraterone works by conversion to a more active steroidal metabolite (Li, et al.Nature. 2015;523:347-51), that metabolism is pharmacologically modifiable to optimize
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including (but not limited to): Radiochemistry of small molecule molecular imaging probes to interrogate tumor biology and predict response to therapy. Optimize and characterize imaging agents for preclinical
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and