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connectivity, web performance and accessibility, network measurement, mobile systems, and technologies for connecting underserved populations. We are seeking an outstanding researcher who already has a
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, psychology, economics, political science, social research, engineering, and the humanities; High-performance computing, GPU-enabled workflows, large-scale data processing, research storage, and technical
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phenotypes, and high-performance computing infrastructure. Applicants must hold a PhD in human genetics, genetic epidemiology, biostatistics, computational biology, or a related field, with a strong
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this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the architecture of entirely new
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, geotechnical laboratory testing, and complementary numerical simulations to improve understanding of soil behavior and geotechnical system performance for infrastructure, energy, and sustainability applications
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of soil behavior and geotechnical system performance for infrastructure, energy, and sustainability applications. The Post-Doctoral Associate will be expected to: Perform and interpret geotechnical
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-doctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection
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performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal