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candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
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deploying AI/ML solutions. Strong proficiency in Python programming with experience in ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of machine learning fundamentals
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relevant areas. Has strong ML/AI programming skills (Python: PyTorch, numpy, pandas) and R. Fluent in using UNIX. Publications in related journals is a plus. Baylor College of Medicine is an Equal
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genomics approaches. Familiarity with computational analysis (e.g., Python, R, Bash) and/or genome-scale data integration. Experience with cell culture and functional genomics (e.g., CRISPR/Cas9), cancer
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, state and local regulations. Data processing using Python and R studio. Use, maintenance, and troubleshoot of neonate physiology equipment. Minimum Qualifications Associate's degree in a Basic Science or
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in data science and machine learning, encompassing the application of statistical methods, the creation of predictive models, and the development of machine learning algorithms. Proficiency in Python
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experience. Preferred Qualifications Experience working with programming language skills SQL, Python, R, Java script, Experience in visualization program such as Qlik Sense and Tableau experience is a plus
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Qualifications Proficiency in AI modeling techniques and tools, with a demonstrated track record in real-world applications. Strong coding skills, preferably in Python, C++, and other relevant languages
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, and integrate environmental, demographic, and health datasets. Develop reproducible workflows using Python and R to support data transformation, visualization, and statistical modeling. Contribute
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Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. Experience Required: None Required. Preferred Qualifications Experience with R or Python. Experience with ML and AI. Baylor College