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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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image reconstruction. Your research will focus on creating a new generation of ultrasound imaging systems that combine multiple distributed transducers into a coherent imaging platform. You will develop
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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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systems that combine multiple distributed transducers into a coherent imaging platform. You will develop novel methods for multi-aperture ultrasound acquisition, ultrasound-based probe localisation, and
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for postdoctoral fellowships in computer science with emphasis on the area of formal methods, in connection with topics that include (but are not limited to) computational complexity, distributed systems, human
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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
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computing, data science, networking, and distributed systems with cross-cutting concerns of security and privacy. Position Summary The Computer Science Department at the University of Oregon invites