Master Scholarships, University of Ottawa, Canada (2017)

Reliable interpretation of genomic information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Evidence and Likelihood Lab of the Ottawa Institute of Systems Biology (http://www.davidbickel.com). David Bickel seeks new graduate students who will conduct original research involving the creation and evaluation of novel statistical tools for application to the analysis of transcriptomics, proteomics, metabolomics, and/or genome-wide-association data.

Each student will work toward an MSc degree in the Mathematics and Statistics Program at the University of Ottawa. MSc students have the additional option of choosing a Bioinformatics or Biostatistics Specialization. Financial support is available.

Intellectual curiosity and high mathematical aptitude are essential, as is the ability to quickly code and debug computer programs. Strong self motivation and good communication skills are also absolutely necessary. The following qualities are desirable but not required: coursework in bioinformatics, computer science, numerical methods, numerical analysis, software engineering, statistics, and/or biology; familiarly with R, S-PLUS, Stan, JAGS, Mathematica, C, Fortran, and/or LaTeX; experience with UNIX or Linux.

Further details:
http://www.researchgate.net