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Houston provide. Successful applicants will have 5 or more years of teaching experience and demonstrate an ability to successfully teach undergraduate and graduate courses in the following areas
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 minutes ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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and memory, and with the design and implementation of cutting-edge data analysis pipelines that use deep learning to reconstruct perceived information from functional MRI in real time. For more
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on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data. This is part of your personality: Completed university degree (master's or equivalent) in
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in machine learning and deep learning Knowledge and experience in wireless communications and radar Knowledge and experience in statistical signal processing Knowledge and experience in 5G networking
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of Programmable and Intelligent Networks Position You will work actively on the preparation and defence of a PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence
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Functions Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets Modeling plant growth, carbon allocation, stress response (e.g
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Desirable: B1 A specialism in HR analytics or deep learning. Skills Essential: C1 Ability to communicate material of a specialist or highly technical nature and to be effective both orally and in writing at a