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Field
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integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or 2.Computational social scientists with experience in
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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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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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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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, 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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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
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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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, 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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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software