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. The successful applicant will possess a PhD or equivalent doctoral degree in engineering, material science, geoscience, environmental science, chemistry, industrial ecology, social science or another relevant
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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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and statistical analysis sections (including power analysis) for research grant proposals. •Work effectively with other members of the research team. Earned a doctorate (PhD, MD/MPH, etc.) in health
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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational experience in
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. Candidates with non-US degrees may be required to provide proof of degree equivalency. Preferred Qualifications: A PhD or MD/PhD (or equivalent) in biological sciences (cell & developmental biology or a
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of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
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with a deep interest in the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a related field • Strong quantitative background
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software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a PhD (or equivalent) in Computer Science
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Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. · A candidate may also be appointed to a