48 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at University of Minnesota
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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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, 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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modeling, physiological signal analysis, and innovative neuromodulation strategies for neurological disorders such as epilepsy, chronic pain, and autonomic dysfunctions. Primary Responsibilities 35
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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
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, Molecular Biology, or a closely related biomedical field • Experience with retinal immunopathology, photoreceptor biology, or RPE-related degenerative disease models • Demonstrated expertise in retinal
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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting
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neural populations and their application in animal models In the Department of Neurosurgery. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential