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Field
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build on two trajectories currently underway. The first is led by a PhD researcher who investigates educational practices that protect learning in the presence of increasingly powerful automation tools
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degree in Civil, Mechanical, Automation/Electrical Engineering, Applied Mathematics/Mechanics, Computer Science or related areas. Demonstrated experience in one or more of the following areas (1) AI
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application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not missed any of our
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while contributing effectively to collaborative research. Preferred Qualifications Preference will be given to candidates with expertise in one or more of the following: Automated and manual Fmoc solid
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
domains through a focus on creative human-AI collaboration? Rather than automation, HAIC-III's central focus is on human-AI collaboration and GenAI as cultural expression and creative interface. See the
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. aureus single mutants in macrophages, using f luorescence microscopybased infection assays, followed by automated image analysis; validation of the intracellular prof iles of S. aureus mutants selected
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screening, and automated experimentation to accelerate materials discovery and optimization. The researcher will work across the groups of Prof. José Berrocal and Prof. Carla Casadevall at ICIQ and interact
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
will lead research on developing automated, high throughput organ-on-chip platforms for evaluation of antibody therapeutic pharmacokinetics and safety. Fundamental to this work, the fellow will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
will lead research on developing automated, high throughput organ-on-chip platforms for evaluation of antibody therapeutic pharmacokinetics and safety. Fundamental to this work, the fellow will be