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of protective responses for infectious diseases, particularly COVID-19 and influenza. The role involves the application of state-of-the-art software development methods, machine learning, and AI techniques
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of protective responses for infectious diseases, particularly COVID-19 and influenza. The role involves the application of state-of-the-art software development methods, machine learning, and AI techniques
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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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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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investigator-initiated clinical trials. The cellular therapeutics will include but not limited to Chimeric Antigen Receptor (CAR) T-cells, Natural Killer (NK) cells and Hematopoietic stem and progenitor cells
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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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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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) skills: experience in any of the following areas is especially valued: synaptic plasticity, Python programming, structural biology, AI / machine learning, calcium imaging, FRET sensors, electrophysiology
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with high sensitivity and specificity to study the tissue microstructure, by synergistically combining advanced acquisition, reconstruction, and analysis methods. Machine learning will be a crucial