35 parallel-computing-numerical-methods Postdoctoral positions at Northeastern University
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
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using existing methods and theories. Assists the supervisor in the interpretation and publication of results and assists in reporting related to grants. Maintains the laboratory and may exercise
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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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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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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About the Opportunity Postdoctoral Research Associate – Computational Glycobiology and Innate Immunity COMBINE Lab, Department of Bioengineering, Northeastern University Principal Investigator: Dr
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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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, the college collaborates across the university, the Northeastern network, and partners around the globe. The Writing Program at Northeastern University, housed in the College of Social Sciences and Humanities
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven