40 phd-computer-artificial-machine-human Postdoctoral positions at Northeastern University
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Number: 5507559 Postdoctoral Research Associate - Computational quantum materials and devices About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill
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management, graduate student training/advising, and co-op/intern student mentoring Qualifications: The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing
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closely with scholars in the humanities, historians, ethicists, legal scholars, and policy advocates. Within NetSI, our team collaborates with multiple research groups working on questions of public health
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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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, the college collaborates across the university, the Northeastern network, and partners around the globe. The Writing Program at Northeastern University, housed in the College of Social Sciences and Humanities
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frameworks, while beneficial in some contexts, may pose obstacles in environmental science education. This project explores how intuitive thinking plays a role in shaping student understanding of human-nature
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(broadly defined), molecular dynamics simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling