66 phd-in-architecture-interior-design-built-environment Postdoctoral positions at The University of Arizona
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, etc.) as needed and relevant to research agendas. Collaborate with faculty and scholars in support of an welcoming academic environment (including organizing collaborative meetings, supervising
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relevant to research agendas. Collaborate with faculty and scholars in support of an welcoming academic environment (including organizing collaborative meetings, supervising/mentoring graduate and
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, well-being, and place within the Happiness and Well-Being Lab at the University of Arizona. The position involves designing and conducting experimental and survey studies, managing data collection and
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of the principal investigator, Dr. Qiu. Develop, design, and conduct complex research projects. Formulate research methods, develop research criteria, and perform scientific data collection and analysis using
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to integrate into the Theory, Data and Computation Group and support an equitable scholarly environment in research, mentoring, and service. UA/SO offers a world-class research environment in space science and
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with SO faculty and scholars in the Department of Astronomy. UA/SO offers a world-class research environment in space science and astrophysics with strong interdisciplinary programs across
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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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MD/PhD degree, and be self-motivated. The candidates are expected to carry out the projects independently with minimal supervision, including designing experiments, formulating new ideas related
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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at the intersection of robotics, control & prototyping, and AI/ML. The Postdoc will design, implement, and evaluate robotic systems - including real-time control stacks - and develop learning-enabled perception