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at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record
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Black tenured faculty member at the School, a distinction noted by minority students at the School and throughout Harvard University, who sought him out as a role model and advisor on career issues. He
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, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods
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of urban transport systems. Craig Douglas: His work explores landscape as a dynamic material process in a constant state of flux through analytical and conceptual approaches integrating modelling, simulation
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-derived cells (iPSCs, myogenic progenitors), genetic mouse models, and phenotypic drug screening methods. In addition, we are examining severe muscle damage that results in a less efficient regenerative
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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
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beyond biochemistry) or in chemical computation. Responsibilities: 1. Conduct experimental or computer modeling/phenomenology research on any of the following: (1) Polymer Chemistry and Self-assembly (e.g
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research papers for peer-reviewed social science journals Required Technical Skills: Strong background in causal analysis and experimental design: difference-in-differences, fixed effects models
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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sequencing studies. -Biochemistry. Responsibilities: 1. Conduct research in in vitro or animal models of aging. 2. Publish and present research findings in high-quality scientific journals and conferences. 3