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, and improve agent efficiency. Contributes to the development and maintenance of knowledge articles, job aids, and training content based on recurring Tier 2 issues. Reporting & Continuous Improvement
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areas of the brain. Treatment is based on rapid delivery of the thrombolytic agent (t-PA), but the delivery of the drug is limited by the obstruction of the vessels. In this project, the post-doctoral
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parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for publication, and/or assisting
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the collaboration with external partners (including companies, non-profits, and other academics) that are providing the tasks that constitute the benchmark; running AI agents built on Large Language Models (LLMs
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. Students will develop familiarity with both model-based and model-free reinforcement learning algorithms, including Q-learning, Actor-Critic algorithms, and multi-armed bandit algorithms. More information
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. This should include a description of a deep learning project that you have executed, ideally a creative use of a transformer-based or related architecture that you trained yourself. If it is in the sequence
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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, linked to a radioisotope emitting ionizing radiation. During their preclinical development phase, these therapeutic agents are administered to tumor-bearing rodents undergoing longitudinal small-animal
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. Mentor and project matches will be based upon your academic experience and professional interests. At the end of your internship you will be expected to prepare a slide presentation based on your
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to identify user needs and requirements for efficient, scalable and reliable data pipelines and models that support data-driven initiatives. Support automation of operational workflows using Agentic AI