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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 9 days ago
for the entire instrument are <5W, <500g, ~0.5U. The NASA Fellow will work with a team or scientists and engineers, gain experience in instrument systems engineering, publish technical papers, and emerge a leader
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Position Details Position Details Advertising/Posting Title Post Doctoral Associate in Civil and Environmental Engineering at UVM Posting Summary Join a vibrant research community at the University
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in a high-impact, multidisciplinary carbon removal programme Opportunities to contribute to emerging climate solutions grounded in Aotearoa contexts Collaboration across science, engineering, law
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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Biology, Umeå University), providing a unique opportunity to work with an emerging technology and adapt it to plant systems where standard solutions are not effective. The data generated will complement
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circuits and emerging devices. Relevant skills include mixed signal circuit design, device modeling, prototyping, programming, etc. The postdoctoral associate will participate in circuit design and device
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Engineering. The Postdoctoral Research Fellow will lead the development and characterization of multiplexed electrochemical biosensors designed for the high-resolution detection of drugs, biomarkers, and
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novel EphB1/2 tyrosine kinase inhibitors as candidate therapeutics for neuropathic pain. Neuropathic pain remains a major unmet clinical need, and Eph receptor signaling has emerged as a promising but
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal