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and intrahippocampal kainic acid (IHKA) mouse models with retrospective human iEEG and therapeutic outcome data. Responsibilities include small-animal surgery, multichannel electrophysiology
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
. The selected candidate will use data from these two lunar missions to focus on gravity field determination for the Moon, with the main topics being high-resolution gravity field models for modeling the structure
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research. Under the direction of Dr. Michael Welsh, the center has pioneered the use of porcine models to study cystic fibrosis and other chronic airway diseases. Fully integrated within this environment
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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, plasma polymer growth mechanisms, and the physicochemical properties of the resulting coatings, and for transferring the optimized conditions from model surfaces to magnetic nanoparticles. The main
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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Posting Description POSTDOCTORAL ASSOCIATE, Chemical Engineering, in the area of fluid mechanics, transport phenomena and biomechanics, will work under the direction of Professor Maggie Qi to model
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Experience Hands-on experience with mouse models and in vivo experiments Required License/Registration/Certification N/A Physical Requirements Check all that apply: ☒Sitting at computer work station for long
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the development of therapeutic strategies to promote neurological recovery. The successful candidate will use a combination of in vivo and in vitro approaches, including animal models, molecular and
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Brain Foundation Models at Stanford University We are recruiting a highly motivated Postdoctoral Research Fellow to join an interdisciplinary effort at Stanford University focused on building next