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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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neurodegenerative processes. Responsibilities: Conduct biochemical, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments
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within our program, it is expected that appointees will pursue their research on campus and should plan to be on campus for 3-5 weekdays each week. Appointees are encouraged to attend lectures hosted by
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to identify VOC exposure patterns and chemical signatures · Generate findings to inform product-market fit, sensor design, and deployment strategy · Prepare results into a manuscript for peer-reviewed journal
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skills for behavioral and neural data analysis Additional Qualifications Demonstrated experience designing and executing behavioral or neurophysiology experiments, ideally in nonhuman primates Experience
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design and execute experiments using lung cancer and lung infection Organ Chips. Develop, optimize, and characterize human lung microphysiological models for translational studies. Analyze and interpret
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Additional Qualifications Demonstrated experience designing and executing behavioral or neurophysiology experiments, ideally in nonhuman primates Experience with electrophysiology acquisition and analysis
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees