19 buidling-information-modelling Fellowship positions at University of Kansas Medical Center
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: Professional Staff Job Description Summary: NIH-funded postdoctoral position is available to investigate molecular mechanisms controlling hemochorial placentation using human and rat stem cells and genetically
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) utilizing animal models. This position offers an exciting opportunity to study the mechanisms of neuroplasticity and rehabilitation utilizing microelectrode array recording and stimulation techniques
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applications related to treatment planning Develop models to reconstruct tumors; yet avoid organs taking into account healthy structures. Plan and gather information from highly specialized experiments. Collect
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applications related to treatment planning Develop models to reconstruct tumors; yet avoid organs taking into account healthy structures. Plan and gather information from highly specialized experiments. Collect
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in advanced analytical theories, predictive modeling, data mining, and data extraction. Experience in clinical and health services research. Expertise in using various statistical software (SAS, STATA
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in the field of thrombosis and hemostasis, with a particular focus on utilizing animal models to explore the underlying mechanisms of Thrombotic Microangiopathy Job Description: Required Qualifications
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Disease Research Center at the University of Kansas Medical Center is looking for a postdoctoral fellow to study neurodegenerative diseases in human & animal models. The candidate has opportunities
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willing to perform both primary cell culture and animal model studies. Job Duties Outlined: Independently interpret experimental results and analysis of data to use in publications, grants, and determining
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Department: SOM KC Neurology - Stroke ----- ICU Position Title: Research Post Doc Fellow - Neurology Job Family Group: Professional Staff Job Description Summary: A position is available for a
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Develop models to reconstruct tumors; yet avoid organs taking into account healthy structures. Plan and gather information from highly specialized experiments. Collect and enter data in an organized manner