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focus on developing and calibrating new protein sensors of cytosolic metal availability, which underpin the "metalation calculator ", and expand their applications to different microbes. The work
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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areas: Setting the immersive virtual reality experiment, building the choice experiment, managing and running the field experiment, analyzing the data and estimating users’ preferences for Automated Taxis
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compounds through both targeted and untargeted methods. Actively contributing to a working group focused on developing and implementing a pipeline for dynamic aroma release measurements in the lab using PTR
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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fabrication methods (robotics) while integrating real-time lifecycle data into decision-making that substantially reduces the construction phase’s environmental impact. The selected candidate will work on DTs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Proposed Start Date 07/01/2025 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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learning methods to comprehend the material's performance during experimental testing. We seek a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning
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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs