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for emerging multi-antenna (MIMO) communication systems, focusing particularly on systems where hardware constraints are a limiting factor. Your work will bridge digital signal processing, nonlinear hardware
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nonlinear aspects. Previous experience in developing advanced constitutive models, particularly for rubber-like materials, is desirable. Informal inquiries may be addressed to Laurence Brassart (email
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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, Biophysics , Biophysics/Soft Condensed Matter Theory , Condensed Matter Theory , evolution , Fluid Physics , Material Science , Mechanical Engineering , Network , Nonlinear and Complex Systems , Nonlinear
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. Keywords: systems biology, developmental biology, dynamical systems, evolution, nonlinear dynamics, biophysics, machine learning, evo-devo Main responsibilities The successful applicant will lead the
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Keywords Optogenetics, 2-photon activation, large scale electrophysiological recordings, mouse model Lab description Processing of auditory information in the brain is complex because information
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18 Feb 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems
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, with expertise in the fields of optimization, machine learning, nonlinear and computational methods, applied mathematics, experimental methodologies for optimization algorithms. Desired: Self-motivated
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization