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Inte

rship Student

Bioinformatics on population genetics and adaptation to climate change in a coral reef fish

 

We are seeking a highly motivated internship student to work on the computational analysis of a long-term experimental project on damselfish (Acanthochromis polyacanthus). Our data has the main focus to understand adaptational processes to climate change on the molecular level. Adaptive transgenerational measurements were taken in different projects looking at temperature as well as ocean acidification. We are using High throughput Sequencing approaches (mostly Illumina based) and have collected integrated genome-wide sequencing datasets. The intern will be able to look at a variety of data, but will mostly be working on the computational analysis of comparative genomics and transcriptomics.

 

This will be a great opportunity for a student to be able to work on a large dataset and be part of large project and can learn and improve his/her knowledge on population genomic analyses. The intern will need to have some experience in bioinformatics work and will be expected to work independently.

 

The student will receive flights, housing, visa and a salary of 800$ per month.


For further information, or to submit an application, please contact Prof. Timothy Ravasi (timothy.ravasi@kaust.edu.sa)

 

The internship conditions and requirements can be found on this webpage: http://www.kaust.edu.sa/internship



One Postdoctoral Positions Available in Computational Biology

 

One postdoctoral positions in computational biology are available at the Integrative Systems Biology Lab (http://systemsbiology.kaust.edu.sa) at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia (www.kaust.edu.sa).

 

Funding’s are available for two years. The candidates should hold a PhD in computer science or a related field, with expertise in bioinformatics, and strong programming skills. Candidates with expertise in one of the following areas are strongly encouraged to apply: Analysis of Next Generation Sequencing datasets in particular transcriptomic datasets generated usiing the Illumina High-Seq system. This position will offer plenty of opportunity to work with interdisciplinary groups at KAUST.


We offer a very competitive compensation package, as well as free on-campus housing and health benefits. Applications should include a CV and contact information of at least three referees.


For further information, or to submit an application, please contact Prof. Timothy Ravasi (timothy.ravasi@kaust.edu.sa).


Please visit the Employment section at the KAUST Website for further information about opportunities and benefits available at the University.