University of Alberta
Edmonton, Alberta, Canada
July 31, 2023
January 1, 2024
The Uhrig lab is focused on understanding how plant cells are regulated throughout the day at the
protein-level using advanced quantitative proteomics, biochemistry and diverse functional genomic
techniques. At the protein-level, protein post-translational modifications (PTMs) such as protein
phosphorylation, play a critical role in the regulation of cellular processes. The PhD research of the
applicant will focus on utilizing quantitative proteomics and functional genomics to define novel intersections between cell signaling events and the underlying cellular processes governing plant growth and development. To undertake this work, the student will utilize the model plant Arabidopsis thaliana, but will be part of a research program utilizing a diversity of plant systems directly and through extensive collaboration.
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. Admission is subject to academic and English language requirements set by the Department.
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. Additional funding and financial aid opportunities for international students can be found here.
University of Nebraska-Lincoln
Lincoln, Nebraska, USA
May 23, 2023
For full consideration apply by:
June 26, 2023
The University of Nebraska-Lincoln, Institute of Agriculture and Natural Resources, Department of Agronomy and Horticulture, Center for Plant Science Innovation invites applications for a Post-Doctoral Research Associate position in plant single-cell computational biology in the Libault Lab. This 12-month (calendar year), full-time special appointment will focus on expertise in bioinformatics, computational biology, machine learning, and plant genomics. The apportionment is 100% research.
The Libault lab seeks to explore and understand the network of plant genes, and their regulation in response to environmental stress at the single-cell level. These discoveries will lead to the development of new strategies to improve crop characteristics and performance. Therefore, using single-cell-omics datasets, the postdoctoral associate will work on genomics, epigenetics, and/or bioinformatics/computational biology to characterize and functionally validate plant cell-type-specific transcriptional programs, their regulation in response to environmental stresses, and their differential regulation between plant species.
A Ph.D. in plant computational biology/genomics, bioinformatics, machine learning, or a related field is required at the time of hiring. Prior knowledge and demonstrated expertise in next-generation sequencing data analysis, computational systems biology, and/or data integration, excellent oral and written communication skills, and the ability to work in a team are also required.
Preference will be given to candidates with a solid knowledge of plant genomics, evolution, gene
expression/regulation, and biological networks.