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laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex
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remodelling introduce viscoelastic and plastic responses near crack sites that remain poorly understood. In this project, we will develop a novel mesoscale modelling approach to capture nonlinear fracture
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results of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and
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control the properties of the output laser beam and to focus it on the workpiece makes fibre lasers indispensable to modern manufacturing. As we enter the Digital Manufacturing/Industry 4.0 era however, new
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of equivariant neural networks. Core motivating problems include: learning models governed by partial differential equations (PDEs) on nonlinear spaces, transfer learning between domains with different geometric
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on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging of thick and strongly scattering
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to precisely control the properties of the output laser beam and to focus it on the workpiece makes fibre lasers indispensable to modern manufacturing. As we enter the Digital Manufacturing/Industry 4.0 era
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bold: develop cutting-edge digital solutions to drastically reduce Norway’s offshore emissions. To support the goals of CSSR, this project aims to develop, analyze and implement new nonlinear iterative
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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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check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the