605 postdoc-parallel-computing positions at The University of Arizona in United States
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University of Arizona Health Sciences Address 1703 E. Mabel St., Tucson, AZ 85721 USA Position Highlights The Program Coordinator for the University of Arizona Superfund Research Center (UA SRC) is responsible
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and innovation. Excellent track-record of mentorship and interpersonal skills, including experience with development of graduate students, postdocs, and technical staff in a high-functioning research
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curation of specialty specific resources and contribution to the broader advising program. The CSA also supports career exploration for undecided students through engagement with medical student interest
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Postdoc Research Scholar position requires a highly motivated and dynamic scientist with a doctoral degree in Physics or Chemistry, preferably with a strong publication record. Outstanding UA benefits
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, Bioinformatics, Human iPSC, and more). Responsible for compiling and submitting data for special reports including Academic Program Reviews (APR), Continuity of Operations Plan (COOP), Campus Emergency Response
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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that influence volatile organic compound (VOC) cycling in soil. The Postdoc will track the fate of VOC carbon soil incubations in the laboratory and plant rhizospheres in growth chambers. The Postdoc scholar will
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, research staff, postdocs and students) and external clients in a wide variety of research projects. Primary responsibility will be to facilitate electron microscopy (EM) sample processing and ultramicrotomy
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funding and contribute to lab-based grant proposals. Minimum Qualifications PhD or MD conferred by the start date and 0-2 years of experience at Postdoc rank. Preferred Qualifications FLSA Exempt Full Time
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at Biosphere 2. Together with an interdisciplinary team of scientists, the Postdoc will develop upscaling methods to estimate ecosystem scale transpiration based on locally observed energy balance partitioning