A postdoctoral position is available at the prof. Kil To Chong's lab (Electronics and Information Engineering, Chonbuk National University, Jeonju, South Korea).
We are looking for highly motivated candidates with a background in machine/deep learning and bioinformatics (biologists and chemists with the computational backgrounds are welcome to apply). The candidate would work to integrate deep learning with pharmacology. The project involves the design of deep neural networks for the prediction of small molecule binding activities and their role in phenotypic screens.
QUALIFICATIONS
- Ph.D. in Bioinformatics, Computer Science, or a related field.
- Experience with the machine (deep) learning/statistical learning is required. Prior evidence of productivity, creativity, and passion for drug discovery is expected. Excellent communication skills in English are desirable. Proficiency in using R and Python is expected.
- Expected skills in Keras, TensorFlow, or PyTorch.
- Excellent publication record.
SALARY
The salary will be decided based on the experience of the applicant.
STARTING DATE
As soon as possible.
DURATION
1-year and can be extended based on the performance
HOW TO APPLY
Interested candidates should submit their CV to Prof. Kil To Chong (kitchong@jbnu.ac.kr).