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of Energy Economics (CEE), a key research unit within the Bureau of Economic Geology (BEG), plays a critical role in advancing the understanding of energy economics, market analysis, and financial valuation
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out research in RNA biology and novel reverse transcriptase, with RNA-seq, diagnostic, and genome engineering applications Responsibilities Conduct independent research in RNA biology, RNA analysis, and
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contributing to competitive grant applications. Advanced quantitative analytic skills. Proficiency in SAS and/or R for large-scale health data analysis. Experience working with large administrative or clinical
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molecules, including biomimetic artificial ion transporters for nutrient and metal ions. This position offers an exciting opportunity to help shape a growing research program and to work on cutting-edge
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research described above. Data collection, data curation, data organization and data analysis, bioinformatic analysis, run computational pipelines, survey literature. Properly document lab notebooks
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timeseries or longitudinal data analysis Experience with qualitative or mixed-methods analyses Other highly desirable skills: Experience with communication of science to general audiences Excellent
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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
characterization (XRD, SEM/TEM, Raman, spectroscopy, electrochemical analysis, etc.) Performs other related duties as assigned Required Qualifications Ph.D. in Materials Science, Engineering, Physics, Chemistry, or
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the various aspects of clinical and translational research projects, including study design and development, IRB submission, informed consent, data collection and analysis, abstract submission, data
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of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis