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Field
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; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using
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experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and
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, and Jupyter Notebooks; Advanced in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network
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Notebooks; Expert in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Expert in social network analysis (SNA) using
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environmental exposures and neurodevelopmental, behavioral, or health outcomes in children Knowledge of causal inference methods (e.g., propensity score analysis, directed acyclic graphs, mediation analysis
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Investigations, Graph Analytics and Criminal Network Discovery, Suspicious Activity Detection, Digital Content Provenance and Authenticity, etc., which are important components to strengthening trust, security
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combinatorics, probabilistic combinatorics, graph theory, Ramsey theory, or combinatorial number theory. The successful candidates will join a community of researchers in the Combinatorics Group within the School
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-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high
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phenotypes, molecular biomarkers, and treatment responses from progress notes for the WONDER project. · Engineer semantic knowledge graphs and database query architectures capturing perioperative
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fine-tuned Vision-Language Models (VLMs) for game scenario detection, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking