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invites applications for an experimental postdoctoral position in optomechanics with light-matter Bose-Einstein condensates (BECs). Postdoctoral Researcher Research focus: We explore a novel regime of
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models. Having enthusiasm in control and a good balance between theory and practice is essential. Good programming skills also support the development of digital twins, soft sensors, ML-supported control
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the project’s Postdoctoral researcher to test generative design workflows using machine learning (ML) and deep learning (DL) techniques, such as generative adversarial networks (GANs), and other emerging AI
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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physical and digital prototypes informed by AI-enhanced simulations and dynamic environmental data. Work closely with the project’s Postdoctoral researcher to test generative design workflows using machine
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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generated from density functional theory simulations, we aim to interpret complex TERS images and push the limits of nanoscale optical imaging. The student will develop and implement new theoretical
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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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supervision of Prof. Vanni Noferini. Your role and goals You will work on the theme of “Matrix nearness problems via Riemannian optimisation’’. Areas of mathematics that are relevant include matrix theory