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in the ongoing project ProcTwin that investigates how a distributed AI system can capture and predict the behavior of a production system under operational conditions. The project develops data
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to ethical and reproducible research. Relevant experience may include network measurement, mobile systems, browser instrumentation, distributed experimentation, statistical analysis, causal inference, large
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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Are you excited about pushing the boundaries of ultrasound imaging? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition
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? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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Professor of Machine Learning and Computer Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems
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Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models
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Distributed Systems projects focused on financial systems, in collaboration with FINOS and a “Big Tech” hyperscaler Teaching load: 1 course/semester in addition to supervision of undergraduate research in
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. Familiarity with models and methods relevant to protein and cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems. Experience with large-scale datasets, distributed training, or high