61 phd-in-architecture-and-built-environment Postdoctoral positions at The University of Arizona
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collaborative with other team members. The postdoctoral candidates will benefit from interaction within the diverse, interdisciplinary environment at the University of Arizona College of Medicine - Phoenix
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& Abilities: Fluency in English with excellent writing and presentation skills Candidate shall be self-motivated, able to work independently in a multidisciplinary environment Minimum Qualifications PhD in
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: Ability to work in a highly collaborative environment. Ability to successfully interact with a various team members, including clinicians, researchers, IT staff, families, and scientist across domains
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. UA/SO offers a world-class research environment in astronomy/astrophysics and provides direct access to a variety of powerful observational/computational facilities. The successful candidate will have
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. UA/SO offers a world-class research environment in astronomy/astrophysics and provides direct access to a variety of powerful observational/computational facilities. The successful candidate will have
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Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role
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. The postdoctoral candidates will benefit from the interaction with the diverse and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix. Outstanding U of A benefits include health
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and the Environment (SNRE) and the USDA-ARS Southwest Watershed Research Center (SWRC) are jointly hiring a Postdoctoral Research Associate. The successful candidate will be co-advised by Associate
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, x-ray generator and detector. -Experience with GEANT4 or similar Monte Carlo modeling toolkit. Experience with implementing computational neural network (CNN) architecture. Experience in image
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equitable scholarly environment in research, mentoring, and service. Your work will focus on the SEAMLESS (SEmi-Automated Machine LEarning Search for Semi-resolved galaxies) survey, whose goal is to identify