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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. Hydrodynamic and Fluid Structure Interaction Modeling Perform Hydrodynamic simulations
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entering a new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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analysis of AI models, in particular attention mechanisms; 3) documented experience in research work on AI models with applications in the space sector or similar (previous cooperation with the European
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- Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person: UAA Police Department Office at Room 114 of Eugene Short Hall on the Anchorage campus / UAA Dean
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, simulation or systems modelling, data science on health or healthcare, broader economics etc.. Essential Application & Interview Experience in use of data & evidence to populate parameterise a model e.g. by
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the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants The call is governed by this Notice of Opening, the University of Coimbra Research
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning