Scholarship: Fully funded
Degree: PhD
Nationality: International Students
Location: USA
Application deadlines: Open until all positions are filled
Scholarship Description:
The main research interests of this (newly established) group include genomic data mining, bioinformatics software development and applications in disease research. The group has several research projects funded by the US federal government, foundations, state government, Canadian government, and Florida Atlantic University (FAU). The group is well funded and members can choose topics based on their individual interests and strengths. Due to the development needs, we are looking for full-awarded PhD students and postdocs in bioinformatics and computational genomics. The group has powerful computational resources (e.g., multiple high-capacity HPCs, storage space, etc.) and a large amount of case histology data (e.g., maximum ME/CFS patient multi-omics sequencing data). Group members have access to multifaceted research and career development opportunities. The new office environment is excellent and well-equipped. For more information about the group, please see the website: https://dllab.org[ZW1]. We warmly welcome students with high ambitions to join us!
Available Subjects:
- Computer Science – Data Science and Analytics Ph.D. Program
- Integrative Biology – Biomedical Science Ph.D. Program
- Complex Systems and Brain Sciences Ph.D. Program
- Integrative Biology – Neuroscience Ph.D. Program 或 Neuroscience Graduate Program[ZW2]
Eligibility criteria:
- Full award funding: according to the university’s uniform criteria.
- Language requirement: TOEFL 80 or IELTS 6.0 or Duolingo 90; GRE is not required (during the epidemic).
- Strong interest in genomic data analysis research and relevant research or study experience
- Proficiency in using raw data analysis software packages for second or third generation sequencing in a Linux environment, software development experience is preferred
- Research experience in analysis of transposable elements sequencing data is highly preferred
Application Procedure:
To apply, please send a CV to lid@health.fau.edu ; and include relevant research experience and study or career plans in the email.