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setting, enabling fast and predictable adaptation with minimal overhead. A central focus is the co-design of algorithms with edge hardware and embedded platforms. You will investigate implementation
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-traced models of the structures, based on STL files, 3-D voxel data and other input. You work closely with the rest of the team to integrate your models with the microscope hardware and GUI, with advanced
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partners will be a crucial factor for success. Your tasks in the project will revolve around designing and building a DUV microscope with a strong focus on the optical hardware implementation and
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wireless transmitters must achieve extremely high linearity and spectral purity while operating with high efficiency. However, transmitter nonlinearities and hardware imperfections introduce distortion
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: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that