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the pseudostratified architecture found in epithelial tissues, and how the architecture is exploited for various functions such as morphogenesis, organ development, and tissue fate. We use diverse model organisms
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appointment(s) to conduct advanced historical research in Islamic art, architecture, material culture, and archaeology at Harvard University. We welcome applications from recent PhD graduates (as Postdoctoral
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conduct advanced historical research in Islamic art, architecture, material culture, and archaeology at Harvard University. We welcome applications from recent PhD graduates (as Postdoctoral Fellow) and mid
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models. Your contributions will reinforce HBS’s leadership in education and business by shaping the future of AI-driven learning experiences. Responsibilities Include: Design and develop the architecture
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Scholar appointment(s) to conduct advanced historical research in Islamic art, architecture, material culture, and archaeology at Harvard University. We welcome applications from recent PhD graduates (as
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Qualifications PhD or Master’s degree in urban planning, public policy, architecture, engineering or related field required, with at least 10 years of relevant research experience. Must have very strong skills and
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. The work will involve leveraging advanced nanofabrication techniques such as electron beam lithography, nanoimprint lithography, and soft lithography to create porous and hierarchical architectures tailored
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Collections and Fieldwork Archives (ICFA), which holds more than a million unique items in a variety of media, including extensive material relating to the art and architecture of the late Antique and Medieval
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-doctoral fellows, research assistants, and PhD students. Troubleshoot complex problems and device a strategy of seeking solutions in collaboration with other data scientists. Document and disseminate
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and rare variants contribute to the architecture of complex traits, accounting for the impact of negative selection, and how does this inform strategies for disease mapping and polygenic prediction