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Transparency). The main tasks will be to: Develop AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking Designi and evaluate methods to improve the robustness
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models of cell migration, with a focus on the microtubule cytoskeleton and microfluidic assays. You will also perform analysis and optimisation of models in the lab. At this level it is expected that you
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2026. The individual will join a fast-paced team that uses rodent models to study mTOR-pathway related disorders (such as Tuberous Sclerosis Complex - TSC) and autism spectrum disorder (ASD
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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energy infrastructure. CRC research spans threat actor modeling and simulation, operational technology (OT) risk analysis, adversarial experimentation, hardware and software assurance, supply chain
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of projects simultaneously. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. This position requires an on-site presence at the Argonne campus in Lemont
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expertise and experience in theoretical models in labor and public economics as well as in microeconometrics and programming. This is a benefits-eligible position. The Research Assistant Professor is
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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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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models