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- Delft University of Technology (TU Delft); today published
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optimization algorithms, you will design structures that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together
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training. Generative AI model training, Design and implement generative models such as Generative Adversarial Networks, Variational Autoencoders, and Diffusion Models to generate realistic ship designs
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures
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training. Generative AI model training, Design and implement generative models such as Generative Adversarial Networks, Variational Autoencoders, and Diffusion Models to generate realistic ship designs
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the risks of business case development. A strong collaboration with consortium members in industry and academia is key. Research Context The EU aims to have a net-zero greenhouse gas (GHG) economy by 2050
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aims to have a net-zero greenhouse gas (GHG) economy by 2050. At present, heating and cooling represent around 50% of the final energy use in Europe and are mainly supplied by fossil-fuel-derived energy
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develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align
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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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in the field of hybrid dynamical systems, observer design, learning techniques, and optimization. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a
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affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from