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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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or Chemical Engineering. • Prior work experience in hands-on laboratory experimentation. Prior work in microfabrication, engineering design (computer-aided design), and soft lithography. • Potential experience
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learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground
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be expected to help define the research questions of interest, and lead both empirical and methodological research efforts towards publication, working together with student collaborators. Teaching is
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computational and preclinical models informed by patient data. A successful candidate will leverage models of Treg suppression, Perturb-seq workflows, and receive assistance from a laboratory technician to design