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Field
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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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demodulation techniques, and the development of signal-processing methods adapted to new sensing applications. The postdoctoral researcher will work within a multidisciplinary team combining photonics
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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and cellular decision-making processes. Intrinsically disordered regions are increasingly recognized as dynamic regulatory platforms that mediate signaling specificity, environmental responsiveness, and
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staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. To learn more about the Crick, click
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analysis, model development, and signal processing techniques for seabed characterization. The position is budgeted for an initial two-year period and may transition to a full-time Research Scientist
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staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. To learn more about the Crick, click
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
) signaling pathways in the laboratory of Dr. Henrik Dohlman. The successful candidate will leverage expertise in structural biology, cryo-electron microscopy (cryo-EM), protein biochemistry, and cell signaling
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. The position focuses on developing integrated circuits and hardware systems that merge sensing, signal processing, and inference directly at the analog and RF interface. This approach enables orders-of-magnitude
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project focuses on developing a mechanistic understanding of coupled redox–dissolution pathways in multi-metal oxide systems and how these pathways can be inferred from real-time process signals. Using