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Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines
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such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent written and verbal English skills, strong communication and
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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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grant writing or contributing to funded projects. Strong coding experience using R and Python for data analysis. Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics
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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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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
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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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techniques and tools, with a demonstrated track record in real-world applications. Strong coding skills, preferably in Python, C++, MATLAB, and other relevant languages. Experience with cloud computing and big