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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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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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. 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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. 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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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
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. • Share concerns appropriately by avoiding direct confrontation in staff meetings: supporting in public, confronting in private. • Participate in RA selection and evaluation processes. • Role model
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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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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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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models of human disease to ensure conduct of research is maximized Experience in the field of animal care and scientific research support specific to nonhuman primates. Must have demonstrated hands