The Translational Bioinformatics in Complex Diseases group is looking for highly motivated candidates for Post-doc scholars (full-time).

The successful candidate will have the opportunity to 

1. Develop innovative computational approaches for omics and clinical data analysis

2. Design state-of-the-art computational platforms for biomarker detection in psychiatry and aging

3. Deliver computational tools with well-crafted and maintainable code

4. Communicate findings through presentations, and publications on a regular basis

5. Participate in project planning and grant writing

Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. Applicants who have not completed a doctorate at the end of the application period may also apply.

1. A doctoral degree related to computational biology, bioinformatics, machine learning, epigenomics, biostatistics, molecular epidemiology, statistics, computer science and neuroscience, as well as aging

2. Familiar with data mining and analysis in genomics, transcriptomics or epigenomics, single-cell omics and neuroimaging, or be proficient in machine learning, and deep learning algorithms

3. Very good programming skills such as R, or Python, familiar with Linux operating environment, and experience in big data analysis is preferred

4. Applicants with the following experience are preferred: Computational epigenomics (DNA methylome analysis), multimodal data integration, (explainable) machine learning model development and application

5. Honesty and strong sense of responsibility, talent in organization and teamwork spirit