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analysis, data organization and quality control, software testing, visualization of research data, scientific documentation, and general laboratory research support while working collaboratively with a
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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. Train and mentor doctoral and undergraduate students in data collection and analysis. Qualifications Knowledge of human neurophysiology and motor control, clinical trial methodology, and human subjects
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robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control
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& Abilities: Strong command of solid mechanics, especially in finite deformation and coupled continuum theories. Proven ability to translate continuum theory into verified finite-element code, including
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. Familiarity with NGS data analysis and command-line bioinformatics (e.g., CRISPResso, Python or R). Experience mentoring students or technicians and coordinating lab operations. Special Instructions
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deadlines. Other Requirements: U.S. citizenship is required due to the nature of the federally funded research and applicable export-control and project access requirements. Preferred Qualifications
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observational data, and have a good command of written and spoken English and Chinese. They should have a strong track record of managing and analyzing large-scale healthcare databases and/or electronic health
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Requirements: U.S. citizenship is required due to the nature of the federally funded research and applicable export-control and project access requirements. Preferred Qualifications: Direct experience with HYCOM
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have an excellent command of written and spoken English, and a demonstrated record of publishing academic research papers. They should be organized, self-motivated, and have the ability to multitask and