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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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learning. The aim is to develop next-generation deep learning architectures that can be easily composed, adapted, and reused for various tasks. These architectures will be designed with principles
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delivery using novel materials. Basic Qualifications PhD in chemical engineering, bioengineering, material science, chemistry, pharmaceutical sciences, or related fields. Additional Qualifications Experience
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analysis), and flow cytometry. Toxicology and immunology expertise would be preferred. A PhD, three references, and a CV/ biosketch are required. Additional Qualifications Toxicology and immunology expertise
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-wide in-person events, typically in New York. Basic Qualifications Researchers holding a PhD related to programming languages, artificial intelligence, and machine learning. Researchers with experience
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research interests. Basic Qualifications PhD in computational genomics or related field. Additional Qualifications Special Instructions Letters of recommendation are not required at the time of application
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Position Description Applications are invited for a Postdoctoral Fellow to work with Professor David Clarke on oxide materials for high-temperature coatings and related materials. A PhD or equivalent in
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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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. Learn more about our commitment to diversity, inclusion, and belonging in our departmental diversity statement . Basic Qualifications PhD in Cellular or Molecular Biology or related field required by
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statement . Basic Qualifications PhD in Psychology or related field required by the appointment start date Additional Qualifications Experience gathering and/or analyzing data Ability to communicate