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London
United Kingdom
Bioinformatics
Developmental Biology
Evolution
Genetics
Genomics
Molecular Genetics
Palaeontology
About the Project
Our lab is using multidisciplinary approaches to understand the evolution of animal bodyplans, organismal novelties and major evolutionary transitions. We use a combination of computational comparative genomics and experimental functional genomics and epigenomics approach (single-cell transcriptomics or multi-omics, chromatin conformation capture, epigenomics). Our primary model and research question is the emergence of pentaradial symmetry in echinoderms and its regulatory underpinnings.
We are recruiting a PhD student to investigate the organismal novelties in the juvenile sea urchin using spatial transcriptomics approach. The work will comprise an experimental part, selecting the right samples, sectioning and constructing the capture libraries, and a computational part to interpret the observed expression patterns at the light of current paradigms in comparative transcriptomics. Particularly, we are interested to understand the relationship between gene novelty and duplication, transcriptomic divergence, expression patterns and organismal novelties.
The student will benefit from the expertise of the other lab members (http://fmarletaz.github.io/People/) to develop his research project in a supportive environment.
The studentship is funded by the Leverhulme trust for 3 years, which unfortunately is only available for home fees (uk citizens or pre/settled candidates). High-caliber international students who are interested should feel free to contact me as some options might be available, such as UCL Research Excellence Scholarship (https://www.ucl.ac.uk/scholarships/research-excellence-scholarship). Contact information: https://www.ucl.ac.uk/biosciences/people/dr-ferdinand-marletaz
Interested candidates should make contact with F. Marlétaz and upload their application as a single PDF including a CV, a short supporting statement (<500 words), and the coordinates of two references at the following address: https://www.dropbox.com/request/igf8NNrm8nWEzdDWoaqM
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