29 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" Postdoctoral positions at Northeastern University in United States
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About the Opportunity We are seeking a postdoctoral associate to support research focused on the development of advanced electronic structure theory to study fundamental chemistry in heterogeneous
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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microfluidics channels experimentally. The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application
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About the Opportunity SUMMARY The research group of Dapeng "Max" Bi at Northeastern University in Boston, MA, USA, is seeking highly motivated candidates for multiple postdoctoral positions. We
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interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
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and the English Department , invites applications for multiple Postdoctoral Teaching Associate appointments on our Boston campus, starting August 2025. The appointment will be for a nine-month academic
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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potential upgrade with a satellite mission in the 2030s. The successful candidate will engage in the LArTPC detector development for an advanced Compton Camera and antimatter measurements at Northeastern
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying