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Field
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., and Satish Mahadevans, Ph.D. Research Assistants to support projects that streamline talent-market insight pipelines and develop agentic AI agent architectures. These roles offer hands-on experience in
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sources and design new energy system architectures. Among alternative fuels, hydrogen is under active investigation [3] as a promising carbon-free solution. Hydrogen combustion avoids the production
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of drug discovery and structural biology. The research focuses on elucidating the complex structural architecture of essential regulatory proteins, including kinases, which play critical roles in
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“monolithic” (solid‑state) HPCR concepts, fuel and structural functions are integrated within a compact core that embeds heat pipes directly. This architecture can reduce reliance on pumped primary coolant
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biosensing platforms, develop novel biosensing systems for real-time monitoring of cellular states, create genetic architectures for precise therapeutic protein regulation, and translate these research
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in air transportation. Electric propulsion systems—ranging from hybrid-electric to fully electric architectures—offer the potential for substantial environmental benefits, including lower emissions
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-generation communications, and much more. Yet the field is still in its infancy. There are exciting prospects, but equally many problems to solve, new architectures to explore, and new applications to discover
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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evaluating raw data. · Manage data storage, backup, and retrieval. Troubleshoot networked computers and network architecture/connections to facilitate data transfer, storage, and retrieval. · Work together
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probabilistic modelling Familiarity with stochastic processes (e.g., Markov chains, stochastic differential equations) Prior exposure with Transformer architectures or large-scale sequence modelling Prior