Scholarship: Fully funded
Degree: PhD
Nationality: International Students
Location: USA
Application deadlines: Open
Scholarship Description:
The position is funded by an NIH R35 grant. Research in the group involves the use of multi-omics data, mathematical models, and machine learning to generate useful biological information and concepts that current theories cannot provide. Two major directions: 1) Reverse engineering gene regulation using deep learning models; 2) Cancer drug/treatment response prediction using deep learning models. All of these projects are in close collaboration with experimentalists. The group aims to bridge the fields of machine learning and biological sciences. Some of our recent work includes ICLR 2023 (above); NeurIPs 2021; Cell system 2019; NAR 2019; Nature Communications 2018. For more information about our research and recent publications, please visit: https://wyjhxq.github.io/.
Indiana University Bloomington is one of only 30 public research universities in the prestigious Association of American Universities. Forty graduate programs and four undergraduate schools at Indiana University are ranked in the top 25 nationally by U.S. News & World Report in 2022. The Academic Ranking of World Universities ranked IU Bloomington 42-56th in the nation in 2021. IU Bloomington is ranked 68th in the Best Global Universities by US News and World Report 2022.
Bloomington is known as the “Gateway to Scenic Southern Indiana” for its scenic trails and outdoor recreation. Indiana University, Big 10 sports, cultural attractions and affordable neighborhoods earned Bloomington a spot on the 2017 Best Cities for Entrepreneurs and our Top 100 Best Places to Live list. The city’s growing food scene has also received national recognition for its local wines and eclectic dining options. Bloomington has been designated a Tree City USA for the past 30 years, and is frequently recognized as one of the best cities in America to do business. The local economy is strong in areas such as advanced manufacturing, education and technology, and the popular downtown district offers many options for shopping, dining and nighttime entertainment.
Available Subjects:
- Mathematics, statistics, computer science, computational biology, bioinformatics
Eligibility criteria:
- – A publication track record in relevant areas.
- – Proficient in Python, PyTorch (or TensorFlow).
Application Procedure:
Interested applicants should submit a copy of CV and contact information of three references to Dr. Yijie Wang (yijwang@iu.edu).