36 postdoc-computational-fluid-dynamics Postdoctoral positions at Northeastern University
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conferences. Assist with the mentorship and guidance of students in the lab. Qualifications: Ph.D. in computational chemistry, biophysics, bioengineering, or a related field. Experience with molecular dynamics
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that the successful candidate is an excellent communicator and has good organizational skills. The NBL is a ~15 member group which consists of researchers at all levels (undergraduate, graduate students, and postdocs
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-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions
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or scholarship; work under the supervision of a senior scholar. Please use the space below to identify specific requirements for this position. Seeking Postdoc to lead fMRI data analyses related to aging, Locus
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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to detail · Proactive, and able to work collaboratively as part of a dynamic, diverse, and growing team Application Materials If interested in the position, please provide a CV, contact of three references
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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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diseases. Example projects include assessing drivers of global infectious disease dynamics and developing short- and long-term forecasts for those diseases, with a focus on arboviral diseases (e.g., dengue