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science/AI, bioinformatics, or related fields. Strong research capability, interdisciplinary communication skills, and proficiency in scientific English are required. Experience in AI/ML, programming (Python/R
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learning tools for analysing healthcare data; Proven competence in mathematics and programming data analysis methods in Matlab or Python. Desirable: An interest in the application area of healthcare
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agricultural scenarios to meet the efficiency and performance requirements for actual deployment. Requirements: Proficient in Python/C++ programming, deep learning frameworks such as PyTorch and TensorFlow
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