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of the second year after a trainee joins the team. Job Duties Designs and implements novel computational algorithms for data analysis, feature extraction, and predictive modeling. Applies machine learning
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approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional
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devoted mentoring customized to her/his career goals, and acquire research skills that will be invaluable in their future pursuit of academic, government, or industrial positions. Potential research
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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science
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seven computer scientists. Candidates must have a PhD in Biostatistics or Statistics and a record of peer-reviewed publications showing evidence of (for Instructor and Assistant Member, a potential of
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on rapid development of editing strategies for rare patient-specific mutations. Optimize lead protein candidates by structure-guided design and high-throughput screening. Apply new machine learning
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structure and dynamics, gene regulatory networks, functional genomics, systems biology, multi-scale modeling, synthetic biology and novel machine learning/deep learning based approaches in computational
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computational biology, statistical modeling, machine learning, and artificial intelligence method development with a strong track-record of research in using data-driven approaches to study the molecular and
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of relevant post-degree work experience is required with a Master's degree Six (6) years of relevant post-degree work experience is required with a PhD Preferred Experience Automated high-throughput screening
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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