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applications on commercially available quantum platforms. Example directions include Rydberg-atom interactions and collective decay, quantum many-body dynamics, and implementing fault-tolerant quantum algorithms
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language processing, large language models, and speech analysis to conduct research on building algorithms for early detection of Alzheimer?s disease based on audio-recorded patient?clinician data. Contribute to prompt
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oral communications skills needed - a writing sample is required. ? Expertise in processing large volumes of data and algorithm design expertise. ? Experience in market design applications preferred
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pipeline to evaluate the accuracy of deep learning algorithms. Apply deep learning models to analyze large-scale molecular and cellular datasets related to high risk model of schizophrenia generated in our
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treatments for mental illness. To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural