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PEDS-NEONATOLOGY Full Time 88156BR Job Summary The overall goal of the research project is to aid in the development and application of novel agents to alleviate the burden of congenital heart
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, biophysics, mathematics, or related field 8+ years of experience with agent-based models or physics-based models 5+ years of experience managing a scientific team of 5 or more people 2+ years of experience
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discovery, or scientific knowledge extraction. Experience building or studying autonomous or semi-autonomous coding agents. Experience designing or implementing automated experimentation or simulation-based
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description] Research on the development of cognitive models for nonverbal communication channels between AI agents, as well as duties related to the research project. * Assigned department Existing departments
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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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structures. Generative Design & Latent Space Optimisation: Leveraging generative models and agentic architectures to automate the discovery of high-performance structural configurations of medical devices
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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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Architect - DARPA SciFy Project - Penn Engineering Job Profile Title Application Architect Job Description Summary We are seeking an Application Architect with expertise in NLP and large language models
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, PyTorch, JAX etc. Experience with modern AI concepts such as large language models (LLMs), vision-language models (VLMs), model context protocol (MCPs), and the development of agentic AI tools. Skill in
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Nurse Directors and maintains communication with the Center for Clinical and Professional Development on student performance. Evidence-based Practice Maintains expertise in the ADNP practice model