Job Description:
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. Responsibilities: 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. Qualifications: Desirable Background: Ideally, candidates should bring prior experience in biodiversity genomics and in scripting (e.g. Perl, Python, R). 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. Location:Guelph, ON, Canada Job Type: Postdoctoral Degree Level Required: PhD
Additional Info:
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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. Responsibilities: 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. Qualifications: Desirable Background: Ideally, candidates should bring prior experience in biodiversity genomics and in scripting (e.g. Perl, Python, R). 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. Location:Guelph, ON, Canada Job Type: Postdoctoral Degree Level Required: PhD
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