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PhD position in advanced microscopy, machine learning, bioinformatics and cancer research


Biomedical Optical Imaging Laboratory is recruiting several graduate students affiliated with Department of Bioengineering at University of Pittsburgh, which is one of the nation’s top ranked schools in biomedical research. We look for highly motivated students with solid training in quantitative science and biology and strong desire to learn. The projects will include various aspects of advanced microscopy and image analysis and biomedical applications, including ultrahigh-throughput high-resolution microscopy system development, large-scale image analysis, bioinformatics and clinical applications in improving precision cancer prevention and therapeutics for disease classification, drug screening and personalized treatment (such as cancer and inflammatory bowel disease). We strive to use light-based tools to make an impact in improving patient care. For more information of our ongoing research and publications, you can visit the website https://yangliulab.github.io.

The candidate is expected to independently conduct research, publish scientific findings in prestigious journals and deliver verbal technical presentations in international conferences. The students will have a unique great opportunity to work in a multidisciplinary team that encompasses expertise in bioengineering, electrical engineering, cancer biology, pathology, and oncology at University of Pittsburgh, University of Pittsburgh Medical Center (UPMC) and other top medical centers around the country.

Qualifications: We are interested in candidates with a bachelor’s degree in biomedical engineering, biotechnology, electrical engineering, optics, biophysics or a related field. A strong background in instrumentation, quantitative imaging and physical optics with programming skills (e.g., Matlab, Python) is highly desirable. Some experience in at least one of the following areas is also desirable: instrumentation of high-resolution optical microscopy, quantitative phase imaging, digital holography, machine-learning based image analysis, fluorescence staining, cell culture, epigenetics and bioinformatics is highly desirable. For interested candidates, please apply for graduate program through Department of Bioengineering at University of Pittsburgh https://www.engineering.pitt.edu/graduateapplications, and inform Prof. Yang Liu by email.


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