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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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, treatment planning, and patient care. The research will involve data collection and preprocessing, model architecture design, pre-training and fine-tuning, evaluation and benchmarking, and model optimization
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familiarity with DMS and DERMS functionalities and architectures; evaluate and enhance operational schemes under high DER penetration. Model microgrids in distribution networks including dynamic and steady
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror their in vivo counterparts. Our mission is to harness these advanced models to unravel
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with both research and teaching responsibilities. Preference will be given to candidates whose expertise aligns and strengthens the research of the Department. The successful candidates must have a PhD
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: The successful candidate should have a PhD in physics or a closely related area. Ideally the candidate should have experience with cryogenic measurements of superconducting circuits, including microwave
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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mutations disrupt a lead enhancer controlling a developmental enhancer cluster (Dev Cell, 2022). Human pancreatic islet 3D chromatin architecture provides insights into the genetics of type 2 diabetes (Nat
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in electrical or
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. This will feature integration of technologies such as across generation, storage, and the grid. The postdoc will develop novel AI/ML architectures, training methods and operational strategies for hybrid