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Apply now » Title: Postdoctoral Fellow (PhD) Division: Pathology Schedule: Monday – Friday, 8 a.m. – 5 p.m. Work Location: Houston, TX Salary Range: Per NIH Guidelines FLSA Status: Exempt
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Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications MD or PhD in machine learning, data science or engineering, with two years
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Summary Postdoctoral positions in biology are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry
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Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications MD or PhD in machine learning, data science or engineering, with two years
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teaching sessions. Expertise with physiologic signal processing in time series (in particular, ECG waveforms) and their direct application/translation to machine learning models. Experience leading an NIH
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tools in a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies
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variant GWAS/ExWAS. We are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics
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of Medicine in Houston, Texas is seeking applicants for a full‐time position as Assistant Professor in the School of Health Professions (SHP) to teach graduate-level foundational science courses for health
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, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology) Experience in the application and development of computational methods/tools or machine learning algorithms Good
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collaborative team. Strong communication skills, both written and verbal, with the ability to convey complex scientific ideas to a diverse audience. Experience with machine learning and/or statistical modeling