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authorship in top-tier AI, machine learning, data science, computer vision, natural language processing, knowledge representation, statistics, applied mathematics, or robotics conference or journal papers
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expertise in generative AI and natural language processing, particularly in training and fine-tuning large LLMs and VLMs, as well as applying AI inference and spatial reasoning to address critical
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intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both
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suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow
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) or interdisciplinary work involving AI. We especially encourage those whose work intersects with trustworthy AI (e.g., explainability, interpretability, or privacy in AI models) or natural language
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. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image processing. Integration of Large Language
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utilize Geographic Information System (GIS) and geospatial analysis to support planning and decision-making. Ability to use Python, R, machine learning, large language models, natural language
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utilize Geographic Information System (GIS) and geospatial analysis to support planning and decision-making. Ability to use Python, R, machine learning, large language models, natural language
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Linguistics employs computational methods and whose work includes or leverages Large Language Models (LLMs). Successful candidates may also specialize in natural language processing ( NLP ) and/or
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the human brain transform complex natural sounds into meaningful percepts, and can artificial neural networks help us understand this process? Join the NASCE project and combine advanced neuroimaging