47 algorithm-development-"Multiple"-"Prof"-"UNIS" Postdoctoral positions at Northeastern University in United States
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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
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on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position collaborates with faculty, students, and external partners
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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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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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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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research helps overcome common implementation barriers to nature-based solutions projects by identifying economic, environmental, and community assets using multiple data sources and spatial tools. The role
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community assets using multiple data sources and spatial tools. The role emphasizes project leadership, transdisciplinary research across environmental, social, and political sciences, and interaction with
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interested in the physical processes involved in the translation of genetic information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools
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Professor Lei Xie seek to hire Postdoctoral Research Associates to train in and oversee in interdisciplinary projects involving AI algorithm development, physiologically based pharmacokinetics, computational
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will