Fully-funded MSc Position in Computational Biology, University of Alberta Canada.

Fully-funded MSc Position in Computational Biology, University of Alberta

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M.Sc. position in computational biology and
plant systems biology  in University of Alberta Canada
Department of Biological Sciences
Plant Genomics Group (www.uhriglab.com)
Position Closes April 1st 2021

The M.Sc. position will be based in the Department of Biological Sciences at the University of
Alberta, Edmonton, Alberta, Canada in the laboratory of Dr. R. Glen Uhrig, with research being
conducted in collaboration with Dr. Guohui Lin (Department of Computer Science) and the
project’s industry partner.
The University of Alberta is a Top 5 Canadian university, with the Department of Biological
Sciences at the University of Alberta offering a diverse and vibrant community for research and
education. The main interests of the Uhrig lab are to understand how plant growth and
development is regulated using advanced genomics, transcriptomics, proteomics and phenomics
techniques. Broadly, the current project will involve elements of data acquisition, curation,
integration and bioinformatic analysis, culminating in the application of machine learning aimed
at assessing various plant traits.
Research and Training:
This two year NSERC ALLIANCE – Alberta Innovates CASBE project provides enormous
academic and professional opportunities. As such, the candidate will be part of a diverse,
multifaceted project team that includes multiple other Uhrig lab members. As part of this team,
the applicant will be expected to intersect with Dr. Guohui Lin and the research and development
team at the industry partner. This will provide added opportunities for professional development.
Further, the candidate will have extensive opportunities for collaboration within the Uhrig lab on
other on-going projects.
Applicant Qualifications:
The successful candidate will have most of the skills below:
1. excellent oral and written abilities in English
2. ability to work both independently as well as part of a team
3. experience in database design, especially for large datasets
4. experience with python (or other high-level programming languages) and machinelearning libraries
5. experience with image acquisition, manipulation & processing
6. some experience with bioinformatics and plant science

Eligibility, Admissions and Finances:
For all admission requirements and funding details on graduate studies in the Department of
Biological Sciences, please refer to the Department of Biological Sciences website https://www.ualberta.ca/biological-sciences/graduate-studies
(). Admission is subject to academic
and English language requirements set by the Departmenthttps://www.ualberta.ca/biologicalsciences/graduate-studies/for-applicants

Interested students are highly encouraged to apply for eligible internal and external graduate
student scholarships and will receive active support from the Uhrig lab in these funding
applications https://www.ualberta.ca/graduate-studies/awards-and-funding/scholarships
Additional funding and financial aid opportunities for international students:
The Uhrig lab encourages students from all backgrounds and nationalities to apply, and offers a
diverse, supportive and healthy work environment.

Appointment Start Date: May 2021 (start day negotiable).

Contact: Interested applicants should send a 2-page CV, their GitHub profile (if applicable), and
2 academic references to ruhrig[at]ualberta.ca http://www.uhriglab.com (). Short-listed applications
will be asked to interview via Zoom.

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