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Job Title: Postdoc Position in Machine learning tools to combine sequence and biologically heterogeneous data
Description
The Center for Research in Agricultural Genomics (CRAG) is looking for a Postdoc Researcher to be part of the Statistical and Population Genomics Group.
 
For more information:
http://www.cragenomica.es/es/grupos-de-invetigacion/statistical-and-population-genomics
 
We are looking for a Postdoc Researcher with a computational profile and an interest in biological applications.
Big data are characterized not only by their size but also by their heterogeneity and noisiness. These features apply in particular to genomic data: their size has been increasing exponentially with the advent of new sequencing technologies, but also their complexity.
We aim at combining several available sources of information, not only the phenotypes and sequence data, but also, e.g., annotation features or metabolic pathways. An important goal is not only to provide efficient predictors but also tools to biologically interpret the results.
We will explore machine learning tools such as ensemble methods or deep learning to investigate two main problems
(i) genomic prediction, and
(ii) inference of selective sweeps.
 
The tasks are included within the framework at the project AGL2016-78709-R. Laboratory: Dr. Miguel Pérez Enciso
Details
Job Ref: Ref. 6/2017
Hours: Full Time
Location: Barcelona (Region)
Working Term: Temporary
Salary: Salary depending on the candidate’s experience and qualifications.
Application Deadline: Application will be open until suitable candidates are found
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