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and Statistics. The School of Mathematics and Statistics is seeking to appoint a Postdoctoral Researcher for a 4-month role to support the bioinformatic and statistical analysis of proteomic
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About the role The Department of Biology is seeking to recruit a Postdoctoral Research Associate to work under the supervision of Dr Laura Moody. The post is funded by the Royal Society for one year
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on their mission of reducing and ultimately eliminating, tobacco-related morbidity and mortality. Five Centers or Programs currently operate at the Institute including a Tobacco Center for Regulatory Science, the
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work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Successful candidate will join the Clinical and Translational Informatics group, led
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and
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the research group and will work with collaborators at other institutions (nationally and internationally) The successful candidate should have the following qualifications: PhD in Epidemiology, Data Science
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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([www.prairie-psai.fr ](https://www.prairie-psai.fr/ )), **CEREMADE** is seeking to recruit a **post-doctoral researcher** for a **one-year position** to work on any project in **analysis, calculus of variations
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for a postdoctoral researcher to improve damage functions for buildings in the Netherlands and to quantify the effectiveness of early‑warning and building‑back‑better strategies in reducing insured losses