12 computing-"https:" "https:" "https:" "BioData" "BioData" "BioData" "BioData" "BioData" Fellowship positions at University of Kansas Medical Center
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, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457
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of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and
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: Previous lab experience working with tissue culture. Previous lab experience working with protein expression and purification. Skills Written and verbal communication skills. Computer skills, data management
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is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu
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Experience: Previous lab experience working with tissue culture. Previous lab experience working with protein expression and purification. Skills Written and verbal communication skills. Computer skills, data
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. To learn more about ongoing research in Saha laboratory please visit https://www.kumc.edu/school-of-medicine/academics/departments/radiation-oncology/research/saha-lab-of-radiation-biology.html. Job
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months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
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months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
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) Time Type: Full time Rate Type: Hourly Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of
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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, but not limited to, education