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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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Qualifications PhD in cell biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, stem cell differentiation and tissue culture, confocal
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metabolism in model systems. ● 15% Publication and presentation of data → The postdoctoral scholar is expected to communicate their research findings through publication in peer-reviewed research journals and
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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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% – 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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, 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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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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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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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
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evaluate experimental guinea pig and mouse models of viral infection and placental/fetal development Collection and analysis of experimental animal’s organs and tissues Bacterial and viral cultivations