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systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven solutions, focusing on building
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structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug
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to biomedicine. The Ideker lab also supports multiple open-source software projects, some with 10K+ users. The Research Software Developer will work under the supervision of the senior members of the software
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with C++. Demonstrated experience with Python. Thorough understanding of object-oriented programming concepts, data structures/design patterns/algorithm performance analysis. Understanding
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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authentication modalities to develop more efficient and effective methods of generating biometric signatures of users. The newly developed modalities would rely on multiple user’s behavioral traits (e.g., typing
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances
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the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate