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interactions in layered 2D materials. This method gives direct access to certain material properties, especially the quantum capacitance, or to the kinetic inductance of a superconductor. In more complex
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No. 101168344 Position: Doctoral Candidate – full-time, 12-month position Research Target: Trustworthy and Reliable AI for Cyber-physical Systems Deadline: 18 October 2026 Expected Start Date: 1 November 2026 How
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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to detect health risks to humans and the environment, to better understand pollutant dynamics, and to achieve a molecular-level understanding of complex systems. Project A major challenge facing our society
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Research Council (ERC) Starting Grant project “Energy-based learning of complex dynamical systems” (E-BLOCS), led by Dr. Henk van Waarde. The PhD student will actively work together with the other members
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Learning and data analysis and are motivated to apply these skills to complex materials and production systems. You are familiar with polymer materials and processing, and you have knowledge of techniques
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will contribute to this challenge by advancing the modelling of particle transport and fluid–soil interaction in dikes. A key scientific challenge is to represent the complex interaction between soil
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of particle transport and fluid–soil interaction in dikes. A key scientific challenge is to represent the complex interaction between soil particles and flowing water across different spatial and temporal
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of dynamical systems, control of complex and uncertain systems, motion control for high-tech systems, model predictive, networked, supervisory, neuromorphic, and learning-based control, cyber-physical systems
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affected by environmental and operational conditions. This project aims to tackle these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data