44 development-"https:" "https:" "https:" "https:" "https:" "Inria" Postdoctoral research jobs at Northeastern University
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project focused on sustainable polymer synthesis from CO₂. The researcher will develop and apply computational and AI-based methods, including high-throughput quantum chemistry and machine learning
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materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the mechanics
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responsibilities. Assist in initiating, executing, and completing research and experiments. Prepare and write research papers, presentations, grant proposals, etc. Assist in laboratory management. Help train
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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of neuromuscular electrical stimulation. The position includes support to develop additional research and pursue independent funding within the lab's scope. Responsibilities Lead day-to-day scientific and
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manuscripts Train and mentor students while driving projects forward Manage project budgets and presentations Who You Are PhD with a strong first-author publication record Expertise in chemical conjugation
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard
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expression of biosynthetic gene clusters in a newly developed Clostridial chassis strain and activation of cryptic pathways in native producers via elicitor screening. Job Summary The Woolston Lab
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on the development of continuum and discrete, stochastic mechanical models of ordered cellular structures and understanding the role of order in pattern formation. The project is in close collaboration with