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Field
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are particularly interested in understanding how IDRs regulate membrane protein function, coordinate cellular signaling pathways, and enable micronutrient distribution within intracellular and intercellular networks
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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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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A
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About the Opportunity As a Postdoctoral Fellow, the candidate will conduct research on the fundamental theories of signal processing and explore their applications in modern communication systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
to characterize receptor complexes, G protein signaling networks, kinase-mediated regulatory mechanisms, and downstream signaling events. Research efforts will focus on understanding the molecular basis of GPCR and
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https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications Ph.D. in human dimensions of natural resources/agriculture, sociology, or a closely related field. Experience in
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of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://p3.snf.ch/project-189065 ii) developing and validation of novel chemical probes and degraders
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in