34 phd-mathematical-modelling-population-modelling Postdoctoral positions at Northeastern University
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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
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may include, but are not limited to: Develop new electronic structure theory to enable accurate kinetic modeling in heterogeneous catalysis. Apply the developed methodology to understand the fundamental
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) Provide meticulous documentation, analysis, and summarization of results (including digital/photographic documentation and computational/modeling/analysis as needed) Assist in project management and co
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and responsibilities for this position may include, but are not limited to: Develop new electronic structure theory to enable accurate kinetic modeling in heterogeneous catalysis. Apply the developed
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and write research papers, presentations, grant proposals, etc. Assist with laboratory management; and training graduate students. QUALIFICATIONS PhD required in nutrition, bioinformatics, physics
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-May-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal Number: 5284740 Postdoctoral Research Associate About the Opportunity The Postdoc will be working on...
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of oysters, genomic forecasting, evolution of structural variants, and population genomics. More information on lab projects can be found in our lab publication record and our lab website: https
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that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key Responsibilities
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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