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the modularity and the high degree of addressability of self-assembled DNA nanostructures as a biosynthetic tool to probe fundamental aspects of biology. The recruited postdoc will develop two main projects: (1
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and Planetary Laboratory (UPDATED) Posting Number req25199 Department Lunar and Planetary Laboratory Department Website Link https://kalfaa.lpl.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA
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research infrastructure support. General qualifications: As expected for a computational-science postdoc or doctoral student position in your field, with a special focus on high-quality computation and data
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Production, storage and use of hydrogen is a very
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physics software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
of computational mechanics, mechanical and civil engineering, and scientific machine learning. The postdoc will be encouraged to publish in leading international journals, present their work at major conferences
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in one or more languages such as R, Python, C/C++, or Perl. Experience with high-performance computing environments is an advantage. Excellent understanding of statistics and experience with complex
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designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer
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proteomics, cell culture, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high