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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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engineers, and researchers in materials science and nanotechnology. We are developing the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a
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, we will apply interdisciplinary approaches in structural biology (cryo-electron microscopy, cryoEM; crystallography), biophysical and biochemical methods, as well as functional studies conducted
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will work on an NIH-funded project developing an ethical framework for participant engagement in long-term implanted brain computer interface trials, have the opportunity to collaborate with neural
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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motivated individual with a background in decision analysis and simulation modeling methods who is interested in applying these tools to answer policy-relevant questions about eMTCT interventions. Our group
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
Proposed Start Date 02/27/2026 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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-depth expertise in Computer Vision and Photogrammetry. - Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF). - Knowledge of Photometric Stereo methods. Operational Skills: - Advanced