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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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PhD level in an appropriate discipline, and you will have sufficient breadth or depth of knowledge in physical acoustics and information theory. You will have knowledge of appropriate research methods
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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. This position is funded by the Danish Research Council Project 1 (DRC-1), which aims to address fundamental problems in geometric singular perturbation theory within the setting of slow-fast analytic vector
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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or European Studies, Comparative Political Theory, Political Science, or Political Philosophy is an advantage. Knowledge of the constitutional systems in Europe and/or MENA region. Familiarity with the theories
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specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. Specific application areas