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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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availability of funding. Basic Qualifications: PhD in Psychology or related field required by the appointment start date. Contact Information: Daniella Rothstein Contact Email: daniellarothstein@fas.harvard.edu
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frameworks. Course work such as in causal inference or implementation science will be encouraged. Basic Qualifications Applicants should have a PhD or equivalent in epidemiology, economics, public health
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compensation and working conditions. Special Instructions Required documents: CV Research summary of PhD work Cover letter describing your interest in the lab and initial ideas for new research directions
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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compensation and working conditions. Special Instructions Required documents: CV Research summary of PhD work Cover letter describing your interest in the lab and initial ideas for new research directions
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: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will
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strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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will participate in grant and fellowship review, mentor graduate students and help collaborate on other events and projects at the Institute. Basic Qualifications Scholars must hold a PhD and those who