26 power-electronic-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Baylor College of Medicine in United States
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of the experiments in an electronic laboratory notebook. Writes technical reports and manuscripts for publication in peer-reviewed scientific journals. Performs other job-related duties as assigned. Minimum
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tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related
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programmatic activities such as seminars, workshops, and collaborative research initiatives. Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health
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record that includes first-author peer-reviewed publication(s). Strong experimental and analytical skills. Ability to independently design, execute, troubleshoot, and interpret experiments. Excellent
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, or related computational platforms. Ability to independently develop, troubleshoot, and document computational workflows. Strong ability to handle large datasets in Microsoft Excel and analyze data using
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overall research plan and designs, executes, and troubleshoots individual experiments. Maintains an organized and completes laboratory notebook detailing all experiments in electronic format utilizing Lab
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, normative, legal, or mixed-methods research. Exceptional analytical, research, and written communication skills. Has the ability to produce clear and compelling academic and policy-oriented scholarship
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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
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, Western blot, laboratory animal procedures, and scientific writing. Demonstrates ability and strong motivation to lead research projects with minimal supervision. Experience in any of the following areas is
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. Rinki Ratnapriya at Baylor College of Medicine. Dr. Ratnapriya's lab focuses on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining