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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual
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muscle wasting and studying tumor-host crosstalk. Duties and Responsibilities A Postdoctoral Fellow (""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with
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: PhD degree before starting the postdoc Experience in molecular and cellular biology, mouse genetics, and omics approaches Hardworking to pursue top-notch scientific investigation How to Apply: Please go
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integration of robotics, PLCs, CNCs, and sensor networks in a manufacturing context. Strong programming skills (e.g., Python, MATLAB, C++) and familiarity with AI/ML tools and platforms. Consideration may be
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be possible, depending on the interest of the PhD candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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constraints. Explore and prototype emerging technologies—such as wireless communication frameworks—that enhance system responsiveness, distributed intelligence, and coordination at the edge. Job Requirements
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borehole seismic data obtained with various sensors. Assist in planning, design and implementation of field experiments to collect high quality geophysical data for research projects utilising fibre optic
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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satellite remote sensing and a wide array of ground observations (i.e., phenocam, Lidar, sap flow). The Postdoc is expected to integrate the advanced knowledge in plant physiology, remote sensing and