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Field
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experience. Proficiency in using Python, AI APIs (OpenAI, Anthropic, Gemini, etc.), machine learning algorithms, and software development frameworks. Familiarity with building agentic solutions using
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to teach CS 311: Data Structures and Algorithms. This 16-week course will be taught in-person, from 8/31-12/12/26, schedule TBD. Course Description Teaches a thorough understanding of several advanced
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communications systems. Develop novel theoretical frameworks, algorithms, and signal processing techniques for sensing and wireless communications. Publish research findings in leading journals and conference
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work has appeared as first- or co-first-author publications in Nature Cancer, Nature Genetics, and Cell Stem Cell, spanning statistical method development, cancer transcriptional regulation, and spatial
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algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct human studies of the algorithms and techniques in
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. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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that integrate rodent pain models, mouse genetics, circuit-level approaches, molecular and cellular assays, high-resolution imaging, behavioral phenotyping, and quantitative data analysis. This role will also
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint
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statistics and data science -- including artificial intelligence -- the community pioneers emerging fields, develops the algorithms that power the information age, and is committed to creatively and
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: Reinforcement Learning (RL) in Complex Environments: Offline and online RL with high-dimensional, unstructured variables, partially observed states, and hidden actions; New methodological and algorithmic