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algorithms, models, and frameworks. Proficiency in programming languages commonly used in bioinformatics and AI research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences
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programming and algorithm development, with proficiency in Python, Perl, C/C++, or Java, and statistical computing using R Demonstrated experience in designing, training, validating, and deploying machine
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. The Scientist will be capable of designing toxicity experiments to address regulatory toxicological questions, performing reproducible analyses of (transcript)omics data by applying their knowledge of R or Python
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