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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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motivated predoctoral research specialists to assist multiple economics and finance faculty working with the center. This position is ideal for graduating seniors or master's degree students interested in
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results
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site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
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teaching at the intersection of finance, macroeconomics, and policy. We seek to hire talented and motivated predoctoral research specialists to assist multiple economics and finance faculty working with
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research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever-changing and fast-paced sector. The position is funded by CAR, a
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simulation environment, and multiple programming languages (e.g., Python, C++, Java) and Data Science, including designing algorithms; Experience with the challenges of designing and rapid-prototyping robotic
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debugging and profiling Parallel numerical algorithms and libraries System software stack administration and novel/experimental hardware. Over the course of the appointment, the candidate will be supported