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Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job description
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, development and interpretation of experiments using human cellular models, as well as the ability to work independently and make experimental decisions. Oral and written knowledge of both official languages
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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circuits. The researcher will independently design and conduct experiments using preclinical models of SCI; develop, optimize, and troubleshoot experimental techniques and protocols related to spinal
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 22 hours ago
. The selected candidate will use data from these two lunar missions to focus on gravity field determination for the Moon, with the main topics being high-resolution gravity field models for modeling the structure
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computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026
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provable guarantees AI-based cybersecurity: applying learning and AI-assisted techniques to network security, e.g., automata learning from security logs, validation of protocol models, and verified defensive