Jump to content


Welcome back, Guest

You can post a job without signing in, but signing in has the following benefits:

  • See a list of jobs you've posted
  • Edit jobs you've posted
  • Sign up for email notifications of new jobs.
  • Enjoy all the other benefits of membership

To gain full access to the site, join one of our supporting ornithological organizations . For more information, see our Membership FAQ.


Post a Job
It's easy!


Search


Why is this job posted here?

The Ornithology Exchange features content posted by our members. In some cases announcements have been re-posted from other websites.

Help


Need help, have a question, see something on this job announcement needs to be corrected, or want to have this job removed immediately? Create a support request in our Job Board Support Forum

Five Postdoctoral Fellowships


Employer:

Centre for Biodiversity Genomics

Location:

Guelph

Country:

Canada

Last Date to Apply:

None provided
Open until filled

Description:

The Centre for Biodiversity Genomics (CBG) at the University of Guelph,
Canada has global leadership in the development and application of DNA-
based identification systems for eukaryotes with a focus on the animal
kingdom. Based in a 50,000 ft2 facility, its unique research capacity
reflects the coupling of one of Canada’s largest genomics platforms with
a workforce that includes world-class expertise in biodiversity science,
DNA sequencing, and informatics (visit biodiversitygenomics.net for
further details). The CBG seeks five highly qualified postdoctoral
fellows to join and strengthen a vibrant research and innovation group.
Applicants for these positions must possess a passion for problem
solving, the ability to work in a team, and a strong publication record.
Ideally, candidates should bring prior experience in biodiversity
genomics and in scripting (e.g. Perl, Python, R). These positions have
the potential for extension beyond an initial two-year term, subject to
annual performance reviews. Applications will be reviewed as they are
received. Please send your curriculum vitae, the names of three
potential referees, and PDF copies of your two most relevant
publications to: CBGfellowship@biodiversitygenomics.net

 

Multi-species Population Genetics/Genomics
High-throughput sequencing (HTS) of taxon assemblages makes it possible
to test hypotheses relating to regional patterns of demographic
stability, isolation, and admixture. The successful applicant will join
a team developing multi-taxa population genomic models to understand
community assembly, colonization, and vicariance based on population-
level sequencing data collected across entire taxonomic assemblages.
Desirable Background: proficiency with methods in community population
genetics; statistical skills; experience in analysing large-scale
genetic/genomic data.

 

Species Distribution Modelling and Spatial Mapping
Large data sets generated by HTS can address current challenges in
Species Distribution Modelling while extended matrix regression models
(e.g. generalized dissimilarity modelling) can analyse and predict
spatial patterns of turnover in community composition. The successful
applicant will have a unique opportunity to combine metabarcoding
results with ancillary information, such as trait data, to develop
process-based models that can identify the functional composition of any
location and map expected distributions of ecosystem functions and
services. Desirable Background: proficiency with GIS software (ideally
ArcGIS); statistical analysis in R; experience in distribution modelling
and with predictive algorithms.

 

Mito-nuclear Interactions
Functional incompatibility between mitochondrial- and nuclear-encoded
components of the co-adapted gene complex responsible for oxidative
phosphorylation is increasingly recognized as an important cause of
post-zygotic isolation. The CBG holds DNA extracts from nearly 400,000
species, providing an exceptional resource for examining nuclear-
mitochondrial interactions among both closely allied and distantly
related taxa. The successful applicant will use these DNA extracts and
our genomics facility to extend understanding of the interactions
between nuclear and mitochondrial gene products. Desirable Background:
molecular background such as primer design and PCR optimization; HTS and
sequence analysis; statistical skills; experience in analysing large-
scale genetic/genomic data; experience with technologies such as genome
skimming and target enrichment as well as combinations of both (e.g.
Hyb-Seq).

 

Bioinformatics/Phylogenomics
Our team has initiated a collaboration that will strengthen two
informatics platforms (BOLD, mBRAVE) developed at the CBG with platforms
to support phylogenetic analysis and global ecosystem modelling. The
successful applicant will join the implementation team to develop
methods for estimating divergence times from DNA barcodes, as well as
multi-gene and genome-scale datasets as well as the empirical analysis
of large molecular datasets to test hypotheses relating to rates of
speciation and molecular evolution. Desirable Background: proficiency
with phylogenetic and phylogenomic methods; statistical skills;
experience in analysing large-scale genetic/genomic data; proficiency in
programming and the use of compute clusters; experience in other
programming languages.

 

Molecular Evolution
About 5% of known species possess deep ‘intraspecific’ divergences at
mitochondrial markers (including the DNA barcode region). These cases
have several possible explanations; each taxon may represent an
assemblage of young species or the deep divergence may truly represent
variation in a single species that has arisen as a consequence of the
merger of phylogeographic isolates or through rate acceleration. The
successful applicant will do broad scans of sequence divergence in the
nuclear genome, advancing our understanding of species ages and
boundaries thereby helping to discriminate between these alternatives.
Desirable Background: molecular background such as primer design and PCR
optimization; HTS and sequence analysis; statistical skills; experience
in analysing large-scale genetic/genomic data; experience with
technologies such as RAD sequencing and genome skimming.



0 Comments