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Field
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practically in the lab using commercial rheometers, mechanical testers, polarizing microscopes etc., in addition to bespoke equipment built for establishing the controlled flow at tunable temperature and
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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nanofabrication combined will be an advantage. Nanoelectromechanically controlled photonic meshes for quantum and classical photonic information processing (mainly theory and characterization). Experience with
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predictably to in-context demonstrations? What controls their ability to generalize, even when it contradicts their training? This project will involve developing a theoretical framework to explain in-context
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Theoretical Quantum Materials We invite applications for a PhD position in theory of quantum materials at Aalto University, Department of Applied Physics. The position is part of the FUN-VAN Research Council
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. The ideal candidate will have some of the following skills such as: Robotics and control: Solid understanding of control theory and robotic systems. Experience with autonomous navigation, path planning
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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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the traffic flow. The project will build on multidisciplinary methods from traffic flow theory, dynamical systems, and optimal and cooperative control. These methods include accurate detection of queues and
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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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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning