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A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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studies. Leading data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll
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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and
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mechanisms, with a track record of creative research in molecular biology, cell biology, genomics, imaging approaches and/or bioinformatics. If selected for this position, you will be expected to: Develop and
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and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and integrating molecular data. About
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Qualifications: Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology. Additional Qualifications: Previous research experience related to biology
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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the appropriate field or discipline, or the recognized terminal degree, or the foreign equivalent. Required Experience In-depth knowledge of specialized field, process or discipline. May require experience with
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt