32 civil-engineering-soil-structure-interaction Postdoctoral positions at Northeastern University
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and Brain Health, we interact and collaborate closely with other researchers who use a broad set of interventionist approaches to benefit cognitive and brain health and promote well-being across
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themselves in the United States. A primary goal of this work will be to build interactive data tools that inform the public, policy-makers, and researchers about the impact of municipal court policy and
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The postdoctoral fellow will contribute to ongoing research projects exploring genetic interactions that influence lifespan, assist in experimental design, data analysis, and publication of findings. Additional
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to disseminate research results QUALIFICATIONS Applicants must have (or be about to receive) a PhD in physics, biophysics, systems biology, applied mathematics, bioengineering, chemistry, chemical engineering, or
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, innovative system designs, and advanced algorithms to shape the future of immersive experiences. QUALIFICATIONS: Ph.D. in Computer Science, Electrical Engineering, or related fields. Strong background in AR/VR
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individualized needs, and to share these tools with various stakeholders, including educational and research communities. As part of the larger Center for Cognitive and Brain Health, we interact and collaborate
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their importance, the majority cannot be genetically engineered, and even those that can are notoriously difficult to work with. The postdoctoral associate will develop fundamentally new approaches for genetically
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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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substrates and their innovative use in applications such as robotics, and wearable and interactive systems. Qualifications: The successful candidate having a strong foundation in at least a few of the
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collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures