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) are looking to hire a post-doctoral associate to carry out joint research in resilience of neural networks, including large language models (LLMs) and other generative AI systems and foundation models
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studies, and user research Perform sequence analysis, network analysis, and pattern mining to identify team-level interaction motifs Write and prepare papers for submission to peer-reviewed journals and
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: Minimal Qualifications: Program management experience of large (~$1M to $20M) federal contracts Experience coordinating deliverables on a schedule with project management software across a broad research
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region undergoing a vibrant technological and economic renaissance. Job Description: Description of Duties : Teach Network and Computer Security undergraduate courses Other reasonable duties as assigned
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-based and network analytic approaches, such as visibility graph analysis, to uncover latent patterns, detect anomalies, and characterize dynamical behavior. This position offers an exciting opportunity
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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. Training LLMs, large-scale deep learning systems, and/or large foundation models using GPU/TPU parallelization while setting up the environment/system network under various constraints, such as limited
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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organizational and time management skills Experience using databases and other technology, particularly Microsoft Office software Teaching or presenting experience EOP/HEOP alumni Additional Information: Initial
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Sensing or Networks. The successful candidate will have expertise in the development and application of quantum technologies for sensing and networking, including but not limited to quantum communication