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Field
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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to predict patient outcomes, treatment response, disease
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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skills with the ability to bridge the gap between theoretical models and experimental results. Excellent problem-solving abilities and a methodical, data-driven approach to research. Ability to work
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-driven methods for power system stability assessment and control with stochastic resources Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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for finance. Deploying the agentic economic world models and the transformer architecture for AI-driven financial econometric tasks such as covariance matrix estimation and time-series forecasting
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, or engineering problems. Familiarity with multi-omic data integration, predictive modeling, systems biology, biomedical data science, or related analytical methodologies is highly desirable. Experience with
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data