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with e-CALLISTO instruments or Software-Defined Radios (SDRs). · Familiarity with machine learning for astrophysical data analysis. · Knowledge of solar radio data pipelines and event classification
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research. Solid understanding of fundamental concepts in wireless communications and sensor systems. Desirable: preliminary knowledge in antennas, wave propagation, or radio-frequency engineering. Good
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of agentic AI systems, agile accelerated computing and next-generation Radio Access Networks (5G/6G), and who have the ability to lead innovative projects and shape new research directions. The successful
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apply with no application fee during Free Application Week, October 6–10, 2025.👉 Learn more and apply here: https://go.ua.edu/4g4YUyJOur faculty are advancing knowledge and innovation across four dynamic
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and validating architectures tolerant to faults and interference (jamming/spoofing) and robust to radiation-induced degradation, adaptive beamforming, and AI-based radio control. The role spans models
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. The Theranostics laboratory studies developing new PET probes for management of advanced malignancies and novel radio-ligand therapies for cancer. We are particularly interested in the preclinical development