3,445 phd-in-architecture-interior-design-built-environment Postdoctoral positions in United-States
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laboratory instrumentation and follow applicable safety standards. Qualifications: Appropriate PhD. A well-qualified candidate will also possess: PhD. In Chemistry. Experience in inorganic and organometallic
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partners to integrate findings into system-scale designs. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Chemical Engineering, Materials Science
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exoplanets, and interior-atmosphere interactions on rocky worlds. Candidates are encouraged to reach out to Prof. Ranjan in advance of their application to cooperatively discuss specific research topics
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, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation
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built on collaboration, innovation, creativity, and belonging. Our collective success depends onthe robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives
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or observational cosmology -ML architecture design and deployment experience -High-performance computing and large-scale data analysis -Background in neural density estimation or advanced ML techniques Position
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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an
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technology and develop human resources. The AI Computing Team explores the design and realization method of advanced machine learning systems by working across multiple layers, including circuits, devices