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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics
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methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
on Qualifications Proposed Start Date 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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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic
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Position overview Position title: Postdoctoral Scholar Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is $69,073 - $82,836 Percent time
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independently and the initiative to follow new ideas. Motivation to pursue career development opportunities (e.g. applying for Fellowships and Awards, promoting your research, networking, etc.). Strong verbal and
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, the Theory of Superconducting Quantum Devices group specializes in quantum computing and quantum optics in circuit QED, a leading quantum computer architecture. Areas of interest include but are not limited
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted