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resonance imaging (MRI) experiments in living rodent models to complete the work proposed in funded grants (CPRIT, NIH, other grants). Develops and optimizes scan sequences to enable quantitative in vivo MRI
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, United States of America [map ] Subject Areas: Data Science, AI, Graph Theory, Optimization, Probability Theory Appl Deadline: 2025/07/30 11:59PM Position Description: Apply Position Description UNIVERSITY OF SOUTH CAROLINA
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to environmental stimuli. This involves protein movement and dynamic protein-protein interaction to maintain optimal photosynthesis, stress responses, and other metabolic processe Key Responsibilities 1) Perform
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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: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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with physicians to analyze patient scan data and optimize MR techniques to meet evolving clinical needs. 4. Managing technical implementation, optimizing scan protocols, and ensuring timely delivery and
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protocols of interest are 61, 62 (bioburden testing), 71 (sterility testing), and 85 (bacterial endotoxin testing). The researchers will be asked to optimize lab-specific protocols and run the protocols at a
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to optimize lab-specific protocols and run the protocols at a larger scale for prototype testing. The candidate is also expected to perform the biological testing detailed in the aforementioned protocols in
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responsibilities include: Leading experiments to optimize Cas9/gRNA complex delivery into oocytes of diverse marine phyla, potentially utilizing techniques like microinjection or targeted incubation. Developing and
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key