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. The doctoral candidate will engage in interdisciplinary research, modeling threat actors, and developing AI-based monitoring tools. Responsibilities include publishing in top-tier journals/conferences and
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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: 282551287 Postdoctoral Associate: Integrating political economy insights into energy modeling D-26-SPI-00009 | Research | Princeton School of Public and International Affairs The Peng group in the School
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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understanding the molecular basis of host-pathogen interaction using the intracellular protozoan parasite Toxoplasma gondii as a model organism. Learn more at: https://yifan-wang.lab.medicine.umich.edu/home
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of molecular biology (PCR and qPCR) for genotyping mouse models, and maintain colony of transgenic and KO mice. Proficiency in techniques of immunohistochemistry and morphometric analysis of tissues harvested
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be negotiated based on the selected candidate's availability. Group or Departmental Website: https://we3lab.stanford.edu/ (link is external) How to Submit Application Materials: Please apply via
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experience EXPERTISE *Expertise in one or more of the following research areas: computational modelling, reasoning and knowledge representation, behaviour change technology, human-centered AI. *Standing out
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2