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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment
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to break that barrier by developing a groundbreaking MEMS-based neuromorphic platform that physically implements Reservoir Computing (RC), a bio-inspired approach using nonlinear dynamics for fast, efficient
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conduct researches of transport phenomena and dynamics of chemical reaction using the approaches of active matter, nonequilibrium statistical physics, theory/mathematical calculation method of nonlinear
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analysis, machine learning, embedded DSP, digital design, logic synthesis, computer architecture, embedded systems, robotics, nonlinear and hybrid control systems, intelligent transportation systems
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physics or related disciplines. Following competences are desirable: Experience in programming with python or C++ Basic knowledge in laser modelling Basic knowledge in nonlinear dynamics Good communication
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autonomous robotic systems; •Proven knowledge of control architectures for cognitive robotic systems (preferably based on nonlinear dynamical systems in the form of neural dynamic fields); •Experience in
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to the lack of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting from
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in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. Benefits at UTA We are proud to offer a comprehensive