26 post-doc-image-processing Postdoctoral positions at Northeastern University in postdoctoral
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, problem-solving, collaboration — using a pre/post design with approximately 300 co-op students, paired with structured employer interviews and a library of just-in-time learning interventions
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Coeruleus and cognition We seek to hire an interdisciplinary post-doctoral researcher in a joint project focused to understand fMRI of Aging with a focus on the Locus Coeruleus. This project involves a
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 08-Jul-26 Location: Boston, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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Electrical and Computer Engineering, Mathematics, Computer Science, or equivalent. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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About the Opportunity Summary: Research involves developing and implementing material models to predict microstructure, phase change and residual stress in processes in high energy processes in
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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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of iPSCs and immunology techniques like flow cytometry. Experience with rodent CNS surgery, including vagus nerve stimulation, is an asset. Applicants should be highly motivated and creative, have excellent
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy