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of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber
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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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technologies into the grid. The successful candidate may also support analysis and development of microgrids for resiliency. This position may help other team members to help analyse, integrate, and optimize
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colorectal cancer organoid culture integrated with perfused microvascular networks. The role will focus on optimizing and standardizing vascularized organoid workflows, executing drug-response and combination