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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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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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work in the group, checkout out the group website. https://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering
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), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. This project is part of
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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heterostructures, and to explore their applications in high-frequency electronics and quantum information science. QUALIFICATIONS PhD in Physics or a related field is required. Candidates should have hands
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field