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highly motivated and skilled postdoc to work on a project using comparative venomics and microbiomics to assess the evolution of venom complexity in social and subsocial spiders. This interdisciplinary
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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. Devote 40-50% research time to 1 of the 3 areas. Use 50% research time freely to develop independent interests aligned with lab’s research topics including Arginylation, Cell Engineering, Chemical
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
development. Will advance research on international, transnational, comparative, and global issues, and involves collaboration with faculty and graduate students. Areas of interest include global challenges
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transplantation using mouse animal models. The research involves understanding the mechanisms underlying resistance/relapse following immunotherapy such as CAR T and developing novel agents for protecting
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candidate will play a key role in ongoing and developing studies investigating the interplay between longitudinal cognitive outcomes, metabolic and vascular risk factors. The postdoc will work closely with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
officials to make proactive, data-driven decisions. This project directly addresses this capability gap by developing a sophisticated, next-generation wildfire risk assessment system. Our approach is founded
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in the implementation of the programs and projects in special areas of interest to the laboratory. Contributes to the development of performance standards, selection of methodology and instrumentation
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opportunities to gain research experience, professional development, and work on project with a dynamic interdisciplinary team. Duties and Responsibilities: The successful candidate will focus on the development
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simulations • Communicate findings and progress to their supervisor in weekly meetings • Train and transfer knowledge to graduate students • Publish, present, and disseminate results in scholarly journals and