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) and treatment as prevention (TasP) in populations who need it most. Training will also emphasize on: innovative state-of-the-science statistical and design methods, c.) community engagement through
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques
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Education: Ph.D. in biochemistry, chemistry, molecular biology or another relevant field required Experience: no experience required Knowledge, Skills and Attitudes: Has the appropriate expertise in discovery
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