35 Design Postdoctoral positions at Northeastern University in united-states-of-America in United States
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the names of at least two mentors/supervisors or senior colleagues who will be able to provide (upon request) letters of recommendation. About The Roux Institute The Roux Institute is designed as an engine
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the names of at least two mentors/supervisors or senior colleagues who will be able to provide (upon request) letters of recommendation. About The Roux Institute The Roux Institute is designed as an engine
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at conferences and in research publications, as well as grant writing. Successful candidates should have strong technical skills, including experiment design and data analysis, along with excellent management and
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intereactions in the broad field of glycoprotein-based therapeutic design. Strong background and experience with applications of machine learning (especially Explainable Artificial Intelligence – XAI) is required
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on passive RF tags and antenna design. Qualifications: A Ph.D. in Electrical Engineering or a closely related field. Demonstrated expertise in circuit design and electromagnetic modeling is essential
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About the Opportunity Outstanding candidates are sought for an experimental postdoctoral opportunity on Northeastern’s Boston Campus to assist in the design and validation of computationally derived
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. The successful candidate should demonstrate a strong willingness to learn and good potential for leadership roles in the future. Design and prototype microfluidic flow cells and fluidics systems for nanoparticle
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, computer science, health sciences, law, art, media, and design, who have demonstrated experience and investments in the teaching of writing. We are especially interested in candidates who seek further
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the names and contact information of at least three references. All applications are online. To apply, visit the College of Arts, Media and Design website, http://www.northeastern.edu/camd/, and click
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. This project looks to accelerate the design of smarter occupant-centric building control algorithms that learn user behavior, are easy to use, and can correctly predict HVAC performance and power draw