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  • Postdoc Position in Cancer Epigenetics

    The Institute off Biosciences and Technology (IBT) at Texas A&M Health Science Center, http://ibt.tamhsc.edu/, is an internationally recognized leader in biomedical and health science research located at the Texas Medical Center (TMC) in Houston, TX, with existing strengths in Epigenetics, Cancer/Stem Cell Biology, Infectious Disease, and Environmental Health. The Texas A&M Health Science Center is part of Texas A&M University (TAMU).

    The Center For Epigenetics & Disease Prevention at IBT is seeking two highly motivated bioinformatics or biostatistics postdoctoral investigators to develop and study novel approaches in data-driven biomedical research to discover new biomarkers, therapeutics, and to revolutionize health care or fundamental computational biology principles. Primary responsibilities include application and development of bioinformatic and biostatistic algorithms to process and analyze multiple types of high-throughput sequencing data, like ChIP-Seq, RNA-Seq and Bisulfite-Seq data. This exciting work will be guided by multidisciplinary collaborations with top scientists in stem cell, cancer biology, and microbiology research at TAMU and TMC.

    The candidates will have a Ph.D. in Bioinformatics, Physics, Mathematics, Computer Science, Statistics, Biology, or Engineering, or related fields. The other preferred qualifications include solid skills in at least one programming language (python, perl, R or C/C++), and strong skills in writing. A dual background in both computation and molecular biology or medicine is a plus. Prior experience with genomics, epigenomics, aging epigenome, neuron stem cell, machine learning, or cloud computation is a plus. Salary is highly competitive from NIH standard to $80,000 depending on experience.

    To apply, please send CV, statement of research interests, and contact information for three references in a single file. E-mail: [email protected] or Mail: Dr. Deqiang Sun, Institute of Biosciences and Technology, Texas A&M University Health Science Center, 2121 W. Holcombe Blvd., Houston, TX 77030

Latest Articles

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  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM
  • seqadmin
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    Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
    03-22-2024, 06:39 AM

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