Scholarship: Fully-funded
Degree: Bachelor, Master, Ph.D
Nationality: International Students
Location: USA
Application deadlines: Open
Scholarship Description:
Dr. Yi Zhang’s Computational Biology Laboratory at Duke University invites applications for a postdoctoral position in computational biology, ML/AI, and bioinformatics. We welcome applicants interested in developing ML/AI methodologies for genomics, particularly in single-cell and spatial transcriptomics, single-cell multi-omics, and computational pathology.
Dr. Yi Zhang is an Assistant Professor of Neurosurgery and Biostatistics & Bioinformatics at Duke University. He graduated from the University of Science and Technology of China in 2014 and earned his PhD in Bioengineering from the University of Illinois at Urbana-Champaign in 2019. From 2019 to 2023, he was a postdoctoral researcher in Professor Shirley Liu’s lab at Dana-Farber Cancer Institute and the Harvard T.H. Chan School of Public Health.
He has published first-author papers on genomic computational methods in Nature Communications, Cancer Research, Bioinformatics, and Frontiers in Genetics, and co-authored articles in Cell, Blood, Nature Machine Intelligence, and Nature Protocols.
In 2024, he will establish a Computational Biology Laboratory at Duke University, focusing on machine learning and computational biology methods for multi-omics big data and their applications in bioinformatics, single-cell, and high-dimensional spatial omics in tumor and immune-related diseases.
Available Subjects:
- ML/AI in Genomics and Bioinformatics.
Eligibility criteria:
- Education: PhD (completed in the last 1-3 years or currently a candidate) in a quantitative discipline such as Computational Biology, Bioinformatics, Computer Science, Biostatistics, Physics, Bioengineering, Electrical Engineering, Biomedical Data Science, Mathematics, or Statistics. Multidisciplinary backgrounds are welcome.
- Computational Skills: Strong skills in developing and implementing computational and data analytical methodologies. Experience with machine learning and deep learning models for genomics or computational pathology is a plus.
- Programming Skills: Proficiency in Python or R, and Linux Shell. Experience with genomics data processing and open-source repositories like GitHub is a plus.
- Research Interest: Strong motivation to apply models to genomics data for biomedical interpretation. Experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks, non-coding genome, genetic variants, and functional genomics is a plus.
- Communication Skills: Excellent writing, publishing, and presentation skills. Proven track record of publishing as a major author in peer-reviewed journals. Willingness to collaborate in a multidisciplinary research environment.
Application Procedure:
To apply, please reach out to Dr. Zhang ([email protected]) with a subject [Postdoc app] – [<Your name>] – [<Your current University>].
Please include (1) CV or Resume (2) Description or research statement of previous/ongoing work and proposed research and interests (3) 1-3 representative publications (published, accepted, or preprint), if link/pdf available (4) Three names of references with contact information.
