10 model-driven-engineering Postdoctoral positions at University of Kansas Medical Center
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of services and programs that meet professional and market-driven expectations. Work Experience: Training in an APA accredited or approved PhD or PsyD program in Clinical or Counseling Psychology. Relevant
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that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven
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: The postdoctoral fellow will focus on using preclinical models to understand the molecular mechanism regulating the tumor microenvironment-mediated tumor promotion and response to therapy. In addition, the applicant
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: Professional Staff Job Description Summary: Dr. Madhulika Sharma’s Post Doctoral Fellow will study the viral LTR promoter using mouse models and cell culture studies. Research areas will include epigenetics
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must provide evidence of degree-in-hand prior to being offered the fellowship. Work Experience: Experience using Stata and/or R statistics software to manage datasets and estimate regression models
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research in urology and development of research in urology surgical techniques, including bio-engineering research. Preferred Qualifications Education: Medical degree in the urology field. Skills
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Experience: Experience in advanced analytical theories, predictive modeling, data mining, and data extraction. Experience in clinical and health services research. Expertise in using various statistical
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Experience: Proficiency in working with rodent or zebrafish models. Skills : Proactive and self-motivated approach to research. This job description is not designed to cover or contain a comprehensive listing
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the Microsoft Office Suite. Experience with general clinical research in urology and development of research in urology surgical techniques, including bio-engineering research. Preferred Qualifications: Work
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controls. Work with clinical samples including serum, plasma, patient-derived tissue, ascites for EV-based biomarker discovery Mammalian cell culture for isolation of sEVs. Cell engineering to express new