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in developing deep learning models 2. Proficiency in implementing large language models for time series data analysis 3. Advanced programming skills in Python Candidate Profile: We are seeking
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processing, including filtering and spectral analysis Proficiency in machine learning and deep learning Candidate Profile: We are seeking individuals with a robust background in signal processing and machine
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/microwave transmitters by observing and classifying hardware impairments such as noise, compression, distortion, etc. - Implement deep learning algorithms on RF system-on-chips (RFSoCs) and FPGAs
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machine learning/deep learning methods and be able to develop custom algorithms. · Strong domain knowledge of surface hydrology, hydraulics, river sediment transport, and water quality