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trial emulations- TTE) * Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and etc) and local trials and observational studies (e.g, UMMS EHR). * Manuscript
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. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • Developing data integration methods to combine multiple massive datasets
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of multiple state-of-the-art techniques (e.g., gene profiling, virus-mediated circuit tracing, calcium imaging/optrode recording, fiber photometry, EEG/EMG recordings, patch clamp slice recording, optogenetic
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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and
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ascertained deep phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in
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publication record with multiple first-author papers at premier venues (CVPR, ICCV, ECCV, BMVC, NeurIPS, ICLR, PAMI, IJCV) within the past 3 years Deep expertise in video understanding, including current state
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. They will be expected to conduct empirical analyses in Python and/or R, use impeccable data management procedures that can be easily replicable, contribute to research strategy and results reporting
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those skills to a variety of problems, and the ability to determine and understand the broader context of his or her research. Preferred Qualifications: Proficiency in multiple modern coding languages is
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universities in the country. You’ll be met with opportunities to connect and collaborate with uniquely talented faculty, staff, and students across 13 colleges, and multiple campuses and regional locations