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scientific creativity, methodological rigor, and comprehensive mentorship. Postdocs receive dedicated support in developing independent research projects and building scientific leadership skills. Our trainees
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications A background in clinical research in vascular or general surgery, or with residency training
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of Neurosurgery, Psychiatry, Neurology, and Neuroscience at BCM as well as the Department of Electrical and Computer Engineering and Neuroengineering Initiative at Rice University. Job Duties Decodes
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datasets. There will also be opportunities to develop statistical methods and computational pipelines to streamline and improve the analysis and trainees on clinically impactful projects. Job Duties Performs
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. Assists investigators in planning and design of experiment. Provides customized bioinformatics and computational support from the project design to publication phases including consulting on experimental
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for enrollment into a NCI T32 training program to foster her/his scientific career development. Dr. Lin is a physician-scientist and Program Director of BCM Oncology T32 Training Program. Dr. Lin’s lab studies
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MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications A background in clinical research in vascular or general surgery, or with residency
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therapeutic strategies. Our research program is highly collaborative and integrative, using cutting-edge experimental approaches involving cell culture system, primary cell and organoid cultures, ex vivo models
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computational and cell biology-based approaches to investigate the response of the intestinal stem cell to damage caused by viral infections and exposure to radiation. The ideal candidate will have substantial