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Field
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to move beyond traditional group-level statistics and model individual variability more accurately. The dissertation will focus on the theoretical and algorithmic development of linear and nonlinear mixed
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eligible, co-funded by EU funds under project/support UID/50008/2025 – Instituto de Telecomunicações, with DOI identifier - https://doi.org/10.54499/UID/50008/2025 . This grant under project NEXUS proposes a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
Quantum Sensing initiatives. By shifting entanglement generation to an integrated nonlinear platform, we can achieve unprecedented levels of stability and scalability. This technology is a critical enabler
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simultaneous control over frequency, polarization, spatial modes, and spatial multiplexing. The objective is to combine these degrees of freedom to generate complex high-dimensional quantum states. These states
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epithelial tissues”, “2024.15260.PEX”, ”DOI: https://doi.org/10.54499/2024.15260.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P.&/MECI through national funds under the programme Call
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spectroscopy, optical ranging, and neuromorphic computing, yet their intrinsically multidimensional nonlinear dynamics introduce a level of complexity that remains unresolved. Where to apply Website https
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and pedagogical skills. Throughout your studies, you will be guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https
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feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and optimization-based updates (e.g
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 11 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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on: Data-driven practical feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and