52 parallel-computing-numerical-methods research jobs at University of Kansas Medical Center
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and applying computational methods to identify biomarkers and therapeutic targets relevant to cancer diagnosis, prognosis, and treatment response. Responsibilities include conducting high-throughput
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completion of numerous research activities, including participant enrollment and data collection and chart review. Maintain complete and accurate research documentation, including electronic medical records
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assignments and develop plans for research experiments. Make minor modifications to existing laboratory procedures and techniques to meet the needs of the equipment as required. Review laboratory methods manual
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studying RNA biology in human neurological disorders. Particularly, an interest in studying G-quadruplex biology from both biological and therapeutic aspects is desired. Applied methods range from the use
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rodents. Laboratory experience in basic cell and molecular biology methods, which includes but not limited to DNA/RNA manipulation, PCR, qPCR, ELISA, immunodetection (IHC/IF/western blotting). Skills
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manuscripts preparation. Assist in the administration of clinical research trials by ensuring completion of numerous research activities, including participant enrollment and data collection and chart review
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research techniques: PCR, Western blot, aseptic technique, dilution plating, and other microbiological methods. Skills: Strong analytical skills and exceptional interpersonal skills Required Documents
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laboratory procedures and techniques to meet the needs of the particular equipment as required. Review laboratory methods manual, scientific journals, abstracts and other literature for information applicable
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Evergreen posting that continually accepts applications for numerous open positions within Internal Medicine. COMPREHENSIVE BENEFITS PACKAGE: Health, dental, vision, employer paid life, LTD, flexible benefits
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activities may change at any time with or without notice. Required Qualifications Education: MD or equivalent doctoral degree. Work Experience: Experience in principal and advanced statistical methods