15 postdoctoral-material-engineering Postdoctoral positions at Northeastern University
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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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About the Opportunity Job Summary The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a postdoctoral research associate in the field
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About the Opportunity This postdoctoral position offers an opportunity to conduct leading-edge research in embedded security with applications to healthcare and medical device cybersecurity
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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and the English Department, invites applications for multiple Postdoctoral Teaching Associate appointments on our Boston campus, starting August 17, 2026. The appointment will be for one nine-month
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource efficient printed electronics on flexible
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/Administrative Internal Number: 6832394 Postdoctoral Research Associate About the Opportunity This postdoctoral position offers an opportunity to conduct leading-edge research in embedded security with
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/Administrative Internal Number: 6791073 Postdoctoral Research Associate About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis