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Proven experience with machine learning (deep learning), and natural language processing (NLP), including popular learning tools and frameworks, e.g., Pytorch, Scikit-learn, Huggingface, Langchain, etc.
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FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, automotive, advertising, smart cities, IoT etc,) and applications (computer vision, natural language processing, data mining, and time-series forecasting.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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Knowledge of pattern recognition, machine learning, and/or natural language processing, clinical workflows, user interface optimization, data integration and mining, clinical ontologies and adoption of technology.
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The California Department of Public Health COVID-19 Data Processing and Informatics Section is recruiting for a Clinical Informatics Specialist to join an exciting team developing innovative solutions to strengthen CDPH's public health data ecosystem.
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Leverage Natural Language Processing (NLP) skills to extract meaningful information from textual data, employing techniques such as text mining, Named Entity Recognition (NER), and sentiment analysis.
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Natural Language Processing: Knowledge and experience developing end-to-end NLP methodologies for sentiment analysis, text classification, topic modeling. 1+ years of experience in Natural Language processing methodologies.
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Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Expertise in machine learning, natural language processing, and using AWS AI services like SageMaker. The Data Scientist will be responsible for building large-scale data mining and ML/AI solutions.
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Previous experience working in data mining or natural language processing. Data mining knowledge that spans a range of disciplines. Perform data exploration and data mining.
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Research experience in natural language processing, text mining in electronic health records, biomedical literature and/or social media data. Understanding of key natural language processing, data mining, machine learning and statistical methods.
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Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Propose innovative ways to look at problems through using data mining and data visualization.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision- Strong programming skills in Python and/or C/C.
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