30 phd-in-mathematical-modelling-population Postdoctoral positions at Northeastern University
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graduate student Qualifications · Ph.D. in immunology, microbiology, cell biology or related areas · Experience with in vivo animal models or multi-color flow cytometry are preferred · At least one first
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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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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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About the Opportunity Job Summary The Wang Lab seeks to advance our understanding of chloroplast function using the model unicellular microalga Chlamydomonas reinhardtii. The research in Wang lab
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. Postdocs also have opportunities to work with Northeastern’s centers for student and faculty advancement, including the Writing Center, PhD Network, Digital Integration Teaching Initiative, Center
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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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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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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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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in