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, data ethics, and statistical communication. We are also interested in investigating the rhetorical and communicative aspects of data communication. The candidate will lead projects around designing and
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–software co-design for privacy and integrity. ● Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship
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therapeutic targets, and support highly translational research initiatives. Key Responsibilities Experimental Design & Execution: Develop and execute in vivo studies using murine models to investigate
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-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control
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questions about how AI can be developed and deployed to serve humanity and augment human intelligence in ways that improve human well-being. The candidate will help design and execute studies (online/lab
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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Key Responsibilities · Design, execute, analyze and interpret experiments independently · Present research findings at lab meetings and scientific conferences · Help with mentoring of undergraduate and
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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: Provides scientific and technical leadership in the management, design, and conducting of the entire research program in resilient AI within Prof. Restuccia’s research group. Responsibilities include
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publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis, along with excellent management and communication skills