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Field
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evolution as well as algal extremophile biology. The candidate will have the opportunity to join a highly motivated and broadly trained laboratory that seeks to both generate basic knowledge and develop
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evolution as well as algal extremophile biology. The candidate will have the opportunity to join a highly motivated and broadly trained laboratory that seeks to both generate basic knowledge and develop
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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Biological Engineering Posting Link: https://www.ubjobs.buffalo.edu/postings/61152 Job Type: Full-Time Posting Detail Information Position Summary The Shi group is seeking motivated Postdoctoral Associateswith
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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relationships across the ARISE project. 30% - Contribute to the development of research documentation for publication and/or prepare technical reports, journal papers, and/or records. 10% - Contribute
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research group's efforts in modeling combustion-generated aerosols. These modeling framework will be used to understand
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the mission to examine the contribution of somatic mosaicism in healthy human brain development and in neurologic diseases and collaborates with the Huang lab for the analysis of their high throughput genetic