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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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recordings, behavioral training, and visual experimentation, while also developing and testing deep neural network models of visual representation. In short: experiments first, models second. Current and
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Massachusetts. Specifically, this fellowship is focused on machine-assisted visualization. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who
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/or structural modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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computational research skills in one of the following areas: Economics: PhD in Economics or Strategy with expertise in causal inference, econometrics, experimental design, industrial organization, or applied
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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates