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(UWB) RF sensing, localisation, and vital sign recognition. The successful candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and
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and Qorvo. The UCC part of the project focuses on the development of agentic AI and digital twin concepts for Ultra-Wideband (UWB) RF sensing, localisation, and vital sign recognition. The successful
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and optimize radiofrequency (RF) power coupling, PMI target conditions, and overall device performance in preparation for early device operations. Integrate boundary plasma simulations with impurity
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experiments on the group's custom-built optical microscope (30%); 2. Develop sample-integration strategies that localize biomolecules near quantum sensors, such as supported lipid bilayers, thin atomic-layer
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-based PNT, opportunistic navigation using communication signals, and advanced signal processing and estimation techniques for localization and timing. The postdoctoral associate will work closely with
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for communications metrics Hardware-aware evaluation (desired): participate in SDR/hardware-in-the-loop experiments and help bridge algorithm design with realistic RF/platform effects. Required qualifications Ph.D. in
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Learning and Instruction Posting Number R260090 Posting Link https://www.ubjobs.buffalo.edu/postings/62946 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term
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currently establishing his new research program in this area. His research interests focus on developing/adapting advanced mathematical techniques for applications in EM theory, radiofrequency (RF) analysis