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for research sponsored by appropriate agencies and Institutions; identifies and selects problems to be studied; develops and troubleshoots new experimental techniques and protocols; attends research seminars
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responsible, self-motivated, proactive in learning, embraces challenges with enthusiasm, and values teamwork. The PI is committed to the Postdoctoral Associate career development that includes mentorship
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characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and
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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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nanoparticle platform development for DNA delivery; mRNA-based non-viral cancer immunogene therapy; and lipid nanoparticle platform development for inhalable mRNA delivery. The candidate will plan, design and
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neuroscience under the direction of the principal investigator, Dr. Yamoah. Develop, design, and conduct complex research projects. Formulate research methods, develop research criteria, and perform scientific
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risk, epidemiology (such as tobacco-related research), and health outcomes. The goal of the program is to prepare the next generation of independent cancer researchers through mentorship, collaborative
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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: · Developing novel AI/ML methods to improve the accuracy, reliability, and validity of downstream statistical inference
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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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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | 29 minutes ago
to develop resilient crops for bioregenerative life support systems and future exploration missions. The ideal participant brings prior knowledge of genomic selection and prediction techniques from applied