turning literature (papers, abstracts, patents) into a standardized knowledge graph with contextualized evidence. Handle... source selection, inclusion/exclusion criteria, updates, and data snapshots. Develop NLP for entity recognition, relation...
, etc.), graph models, and/or, reinforcement learning Experience with open-source tools for deep learning and machine learning...
, etc.), graph models, and/or, reinforcement learning Experience with open-source tools for deep learning and machine learning...
representations. Intern candidates should have a strong interest in Protein Language Models (Attention), Graph Neural Networks... in at least one of the following areas: - Large Language/Foundational models - Graph neural networks or molecular representation learning...
include: Apply data engineering and analytics techniques to transform complex, multi-source datasets into decision-ready... with graph analytics (e.g., NetworkX, Neo4j) and relationship-based risk analysis Experience with data quality frameworks (e.g...
that support trade risk identification and prioritization: Apply data analytics and trade compliance logic to large, multi-source... linkage techniques Exposure to graph analytics and relationship-based risk analysis Hands-on experience with data quality...
, is a plus but not required. Experience in representation learning, graph neural networks, computer vision (specifically in neural representations...) is also a plus A track record of maintaining or contributing to open-source projects for research Relocation benefits...