80 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions at Duke University
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analyzing flux tower, aerosol, and satellite remote sensing data • Familiarity with Earth system modeling and/or AI/ML applications is highly desirable • Strong written and oral communication skills and a
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skills are expected. This position requires a PhD. To apply, candidates should submit a cover letter, curriculum vitae, and contact information for three references to Professor Tai-ping Sun, email address
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such as the Sustainable Energy Transitions Initiative (SETI). Prerequisite Qualifications: - PhD in economics, environmental and/or resource economics, public policy, environmental policy, or a related
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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. Follow expectations for responsible dissemination of materials, reagents, software, and potentially patentable discoveries. Required Qualifications A PhD or equivalent doctorate (e.g., MD, ScD, DVM
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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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immunohistochemistry. Some expertise in single-cell RNA sequencing is also preferable. Requirements: · Holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide
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/Training PhD in psychology or a related social science discipline Experience/Skills · Excellent English written and oral communication skills; high level of attention to detail Advanced knowledge and comfort
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self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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to value and finance climate resilience at scale. We seek a Fellow with a strong background in applied economics or finance who is eager to collaborate with engineers, climate scientists, economists, and