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loads in power system dynamics and stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven
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opportunity to conduct independent research under the mentorship of a Duke faculty member, preparing you for a full-time academic or research career. You’ll work on an R01-funded project, analyzing imaging data
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displacement. Responsibilities Perform original and independent research on earth surface deformation assessment in Texas, the surrounding area of Texas, and elsewhere. Be involved in analyzing data collected
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departments and schools · Collect and analyze data · Write and submit scientific papers and abstracts, as well as submit grant proposals · Presents ongoing work and findings to colleagues and at academic
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions
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the following supplemental questions: (1) What sorts of projects would you like to carry out in the lab? (2) What are your greatest strengths, and what areas would you like to improve? Contact Information Anana
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molecular reporters to monitor neuronal activation or signalling pathways is highly desirable. You are comfortable working with imaging-based readouts and data analysis; experience with calcium imaging, high
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Researcher 4 Department: Medicine | IM
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Researcher II will support ongoing research projects in the field of geography, working closely with a team of researchers and project leads. Responsibilities include collecting and analyzing spatial data