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Field
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neurodevelopmental disorders. The successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate
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university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our
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decision making in SCD, particularly as it related to chronic SCD pain. The lab has received NIH funding to complete a longitudinal study of chronic pain phenotypes in SCD (SPIRIT2). Education: The post
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the development of an independent research program. Minimum Education Required Doctoral degree or equivalent terminal degree in biostatistics, statistical genetics, genetic epidemiology, bioinformatics
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, conference and code reviews; prepare and give presentations on results of the research at conferences; lead and participate in drafting scientific papers reporting results of the research for publication in
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in the area of probabilistic methods in machine learning. These include applications of Random Matrix theory and Gaussian processes to Deep Neural Nets. Teaching may be required. Education and
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, radiographic, and clinical outcome datasets to identify biomarkers and mechanisms of therapeutic response. Prepare manuscripts, abstracts, grant applications, scientific presentations, and progress reports
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targeted at the key DOE Office of Science missions. Major Duties/Responsibilities: Work closely with ORNL researchers in using the resources of the OLCF effectively and efficiently Develop and port scalable
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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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currently are all working on other NIH funded projects. Education Requirements: A PhD or MD degree in relevant field. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful