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SQL/PostgreSQL applying NLP, statistical methods, and LLM-based approaches to textual data deploying and maintaining research code on Linux virtual machines Computer Vision & Visual Data Analysis
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GPU-based machine learning infrastructure Developing internal technical documentation, training, examples, or reusable engineering workflows Machine learning, computer vision, or robotics applications
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Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data
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procedures within a relevant R&D environment. Experience of current Artificial Intelligence and Machine Learning methodologies/tools e.g. agentic patterns, LLM orchestration, vision models etc. Desirable
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portfolio projects (e.g., GitHub), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information
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research and applications, including remote sensing and computer vision, geospatial foundation models, LLM-enabled research workflows, API-based data and model integration, model selection, tuning
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possibility of an extension dependent on continued funding. Job Description Job Responsibilities Design and build ClaimSpy's agent architecture: multi-LLM pipelines with tool-calling chains for
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engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers
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engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers
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student-focused law center inspired by the Jesuit tradition of academic excellence, intellectual openness, and service to others. Our mission is: to educate students to be responsible and