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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
measurement goals and how the novel technologies enable or improve existing capabilities. Field of Science: Technology Development Advisors: Mark Stephen mark.a.stephen@nasa.gov (443) 800-5690 Applications with
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., Alzheimer’s or Parkinson’s) and a track record of first author publications, a plus. Experience with the development and validation of advanced cellular models, such as induced pluripotent stem cell–derived
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: 30% Lead research projects pertaining to development of large animal models of disease
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Posting Number R260015 Posting Link https://www.ubjobs.buffalo.edu/postings/60763 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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History Department and assist in the development of collaborative projects that link History and CDS and draw on the talents of Duke students. The successful applicant will have the chance to interact with
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to pursuing a career in the field. In addition to research (95%), applicants will be encouraged to participate in career development activities (5%) both within and outside the university. The candidate will
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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School for Environment and Sustainability (SEAS). This role involves conducting research at the intersection of environment, development, and health economics and policy. The successful candidate will
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Position Summary The Magee lab studies the mechanisms that regulate childhood blood development and genetic changes that cause leukemia in children. We have several projects related to these general
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the formation of the isthmus of Panama and its impact on the evolution of plants in rivers). This collaborative project will integrate genomic, paleontological, and geological data to unveil how riverweeds