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distributed architectures composed of multiple processing nodes interconnected through optimized wireless communication links. Task 2 – Proof of Concept Demonstration A Proof of Concept (PoC) will be developed
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one of the following areas: wireless localization, wireless sensing, AI/machine learning for communications, or signal processing. Ability to conduct experimental research independently and
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areas: wireless security, wireless communications, AI/machine learning for communications, covert communications, signal processing, and/or RF design. Ability to conduct research independently and
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tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
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, and adaptive signal processing to improve the confidentiality, integrity, and authenticity of wireless communications. The Chair of Theoretical Information Technology at TUM offers a position as
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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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-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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follow this link: http://ethics.dls.virginia.gov/ EEO Statement The Virginia Community College System (VCCS) provides equal employment opportunities to all employees and applicants for employment and
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learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data analysis is expected, complemented by strong capacity for teamwork
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. The successful candidate will gain expertise in RF engineering, Artificial Intelligence, FPGA design, digital signal processing, wireless communications, and embedded systems. The project is expected to generate