University of Georgia生物信息深度学习招生PhD

ESBG lab is an interdisciplinary research group using concepts and techniques from diverse disciplines including biophysics, biochemistry, and bioinformatics to understand how proteins, the molecular machines of life, work. Our current efforts are focused on protein kinases, a large and diverse family of enzymes that propagate cellular signals through the controlled phosphorylation of protein and small molecule substrates. We are additionally exploring other enzyme superfamilies, such as glycosyltransferases, critical in protein folding and metabolic pathways. We use a combination of computational and experimental approaches to understand how natural sequence variation contributes to functional variation in these enzyme superfamilies, and how non-natural variation contributes to disease.
Dr. Natarajan Kannan is a full professor appointed by both Biochemistry & Molecular Biology department and Institute of Bioinformatics. He has published over 100 papers on top journals including Nature, Cell, PNAS, Nature Communications, Science Signaling, Nucleic Acids Research, Elife, Bioinformatics. His Google Scholar site: https://scholar.google.com/citat ... OwAAAAJ&hl=en&oi=ao
This position will focus on deep learning on bioinfomatics. A good candidate should have the following backgrounds:
1. A solid mathematics backgrounds
2. Basic understanding of modern machine learning and deep learning algorithm
3. Have Pytorch or Tensorflow experience
4. Meet graduate school requirements for TOEFL, GRE and GPA(https://grad.uga.edu/index.php/p ... ation/requirements/).
If you are interested, please drop your CV, transcript to email: dchow279@gmail.com with your name, your planning enrollment year and semester.
帮发一个招生广告，Dr. Kannan对学生非常支持，计算资源充足，实验室拥有v100, v100s GPU 集群若干，A5000显卡工作站多台，希望招收一名学生，以RA support， 主要研究方向是深度学习应用在生物信息方向，感兴趣的同学可以发简历到dchow279@gmail.com。