10 assistant-professor-computer-science-data Postdoctoral positions at University of Kansas Medical Center
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Department: SOM KC Internal Medicine - Nephrology and Hypertension ----- Medicine - Nephrology and Hypertension Position Title: Research Data Assistant - Internal Medicine (Nephrology) Job Family
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the information into his/her project design/interpretation. Design retrosynthetic analyses and convert these to real world synthetic organic methods Assist to Design animal experiments with rodents. Dissemination
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, immunohistochemistry) Rodent models of heart failure & intermittent hypoxia Data science & physiological signal analysis Compliance: Attend and maintain compliance on all orientation and training sessions designated by
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analyze data generated from their studies. Lead knowledge-based dissemination through manuscript preparation efforts and take an active role in internal and external data presentations, and aid in
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. Our research program seeks to identify novel pathways used by bacteria to cause infection. One major area of research interest is how human pathogen Clostridioides difficile establish colonization and
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: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making
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: Research Overview: Design and conduct experiments and interpret data under the mentorship of the Principal Investigator (PI). Work independently and collaboratively on research projects. Assist with
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compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training
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: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including
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Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of