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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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and interpreting data for research grants, maintaining clinical practice records, and implementing new statistical techniques through custom computer programs, in addition to assisting and training
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include high-throughput molecular biology methods and/or machine learning development. Collects, compiles and analyzes data in a high quality and detailed manner. Ensures all experimental or computational
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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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. Preferred Qualifications MD or Ph.D. in immunology, bioinformatics, computational biology, or a related field Strong data analysis skills with no required postdoctoral experience Hands-on experience with
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, genomic and computational approaches to investigate the genetic pathways that regulate cardiac organ development and homeostasis. Our lab performs computational and wet-lab work, though the ideal candidate
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intended for life science graduates from Immunology or Microbiology backgrounds, however, a graduate with background in Computer Science or Computational Biology will also be considered. The successful
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& Molecular Pharmacology at Baylor College of Medicine. The Robertson lab’s research focus is in combining cryogenic electron microscopy and computational biophysics methods to generate movies of membrane
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Postdoctoral Associate position as part of T32 program. This opportunity involves joining a multi-disciplinary research team focused on the microbiome and its role in gynecological pathologies. The research will
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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