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and protect patients’ vision. The successful candidate will develop novel deep learning approaches to model longitudinal sequences of high dimensional OCT images, identifying biomarkers for conversion
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hardware design (Verilog/VHDL), FPGA-based acceleration, etc. Experience with deep learning frameworks like PyTorch, Keras, or TensorFlow, and tools such as Jupyter Notebook, is expected. A strong foundation
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