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of RNA regulation during RNA synthesis and how these may be disrupted in disease, utilizing high-throughput experiments and machine learning. We are looking for a motivated, hard-working individual to join
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additional expertise in machine learning (ML) and natural language processing (NLP). The successful candidate will become part of our dynamic research team, focusing on the complex relationship between cancer
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sequencing data, and is especially interested in addressing fundamental biological questions through machine learning and mathematical modeling approaches. The Texas Medical Center is the world’s largest
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models and machine learning. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Experience in epigenetics or gene
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machine learning, data science or engineering, with two years of clinical experience. Successful candidates will have strong clinical background and an interest in population level data analytics