Ph.D. student position – Functional Genomics and Computational Biology – University of Erlangen-Nuremberg, Germany-Erlangen

Job ID: 3006
Job date: 2015-03-17
End Date:

Company : NIH 

Country :

Role : Student 


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Job Description:
Ph.D. student position - Functional Genomics and Computational Biology
University of Erlangen-Nuremberg
Biology
Germany-Erlangen

A three-year Ph.D. position (50% E 13 TV-L) is immediately available at the Department of Biology (http://www.biologie.nat.uni-erlangen.de/English/home.shtml) at the University of Erlangen-Nuremberg (Germany).

The focus of our research group is on understanding the functional aspects of the human genome in health and disease through the analysis of the different levels of information encoded in the sequence. Some of our publications include:
Taher et al., Sequence signatures extracted from proximal promoters can be used to predict distal enhancers, Genome Biology, 2013 (http://www.ncbi.nlm.nih.gov/pubmed/24156763).
R.P. Smith et al., Massively parallel decoding of mammalian regulatory sequences supports a flexible organizational model, Nat Genet, 2013 (http://www.ncbi.nlm.nih.gov/pubmed/23892608).

We are looking for talented, highly motivated applicants with:
1. A master’s degree or equivalent within the field of biology, computational biology or related fields.
2. Demonstrated proficiency in at least one common programming language.
3. Strong written and oral communication skills in English


Job Information
Position Type: Ph.D. student position
Start Date: ASAP
Duration: Full Time
Status: open

Contact Information
University of Erlangen-Nuremberg
Biology
Leila Taher
funcgenfau@gmail.com
http://www.biologie.nat.uni-erlangen.de/English/home.shtml

How To Apply:
Please email applications with the subject "PhD Position" until April 15th, 2015. An application package must contain the following documents in English (please, all in one PDF file):
1. A letter of interest.
2. A complete curriculum vitae.
3. Copies of your transcripts.
4. Names and contact information for 2-4 references.


Skills :

Areas :


Additional Info:

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