- Positions: MSc and Ph.D. fully funded graduate student positions
- University: University of Ottawa, Canada
- Lab: Mer lab (https://merlab.github.io/)
- Research Areas: Bioinformatics, machine learning, genomic data analysis, personalized medicine
- Department: Department of Biochemistry, Microbiology and Immunology
- Joint Program: Ottawa-Carleton Joint Bioinformatics Program
- Additional Opportunity: Students with degrees in computer science or related fields can enroll in the School of Electrical Engineering and Computer Science graduate program
- Responsibilities: Multi-omics data analysis using machine learning, stem cell-related single-cell data analysis, biomarker discovery for cancer personalized medicine, development of bioinformatics tools
- Qualifications:
- Good programming knowledge (preferably R or Python)
- Skills in genomics data analysis (RNAseq, WGS, WES) and/or machine learning
- Basic understanding of molecular biology, genomics, and omics profiling techniques
- Previous degree in bioinformatics, computer science, or related disciplines (a plus)
- Good GPA
- Self-motivated and driven individual
- Excellent communication and writing skills in English (valid English language test score may be required for international applicants)
- Application Requirements:
- Cover letter, CV, transcripts, and English language test score copy (PDF format)
- Highlight programming and bioinformatics skills in the cover letter and CV
- Email subject line: "Application for INSERT-POSITION-HERE"
- Send application to amer@uottawa.ca
Note: Please ensure all documents are provided in PDF format.
Fields:
Candidates from the following fields can apply:
- Bioinformatics
- Genomics
- Computational biology
- Machine learning
- Molecular biology
- Computer science (with an interest in bioinformatics)
- Related disciplines in the fields of biology, genetics, or computer science.
Also Check: PhD and Master Positions at Carleton University