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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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, and conduct independent research projects investigating head and neck tissue stem cell (dys)function in various preclinical models (mouse, explant, organoid), focusing on normal aging and age-related
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flux measurements using biogeochemical modeling. They will be responsible for managing projects related to field instrumentation and ecosystem flux modeling. 20% designing and implementing trace gas flux
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to collaborate with labs with expertise in molecular modeling, data science and analytics and structural biology to further both their project and career goals. As we are broadly pursuing how to translate
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C
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quality models to better understand the effect of soil health management practices on soil-water storage in agricultural fields. A postdoctoral position is available to examine the effect of soil health
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on cardiovascular disease modeling and cardiac regeneration using human induced pluripotent stem cells derived cardiac cell types and associated engineered tissues. As a team member, you will be responsible
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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% – Conduct computational modeling and/or analyze data from clinical and preclinical studies related to neurological conditions (e.g., epilepsy, chronic pain, autonomic dysfunctions) 30% – Develop grant
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responses and protective efficacy of vaccines in laboratory animal models (e.g., guinea pigs and mice) Mammalian cell and virus cultivations Bacterial and viral gene cloning and manipulation Lab animal