61 phd-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at The University of Arizona
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that respond to activation of the host HPA axis, including changes in microbe-microbe interactions, 2) investigate immune mechanisms mediating host-microbe responses, and 3) begin linking these mechanisms
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that respond to activation of the host HPA axis, including changes in microbe-microbe interactions, 2) investigate immune mechanisms mediating host-microbe responses, and 3) begin linking these mechanisms
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experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Presenting results at national conferences. Leading the development of manuscripts with the aim
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for manuscripts related to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in
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to the publication. Contribute (writing and figures) to grant submissions related to this project. Train lab members in various computational techniques. Minimum Qualifications PhD in Neuroscience or related field
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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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Qualifications Ph.D. in Systems and Industrial Engineering, Mechanical Engineering, Computer Science, or a related field. The selected candidate must have a conferred Ph.D. upon hire. Preferred Qualifications
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-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials, or device fabrication and
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on semiconductor devices for next-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials