Job ID: 5696
Job date: 2017-08-16
End Date:
Company : RWTH Aachen University Country : Role : Postdoc | Student
Job date: 2017-08-16
End Date:
Company : RWTH Aachen University Country : Role : Postdoc | Student
Job Description:
We invite applicants for a Phd Candidate/Postdoctoral position in one of the following topics: 1) Machine learning methods for the analysis of single cell epigenomics data. 2) Sequence analysis algorithms for detection of interactions of long non-coding RNAs with DNA. Candidates will perform research on methods for analysis of single cell epigenomics and transcriptomics scATAC-Seq, scRNA-Seq and scBS-seq. These projects will be performed in collaboration with stem cell and medical specialists from the RWTH Aachen University. Qualifications: Applicants should hold a M.Sc./Ph.D. in Bioinformatics or Computer Science. Experience in the analysis of biological sequences, regulatory genomics and/or machine learning is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Linux. Experience with high performance computing is a plus. The working language of the group is English.
Additional Info:
The Bioinformatics Group RWTH Aachen University performs research on computational methods for analysis of epigenomics and transcriptomics data. Over the past years, we have developed methods for prediction of cell specific binding sites from open chromatin data (Gusmao et al., Bioinformatics, 2015; Nature Methods, 2016), inference of regulatory networks driving cell differentiation (Lin et al., NAR, 2015; Allhoff et al., Bioinformatics, 2015) and prediction of long noncoding RNA regulation via DNA-RNA interaction (Kalwa et al., NAR, 2016). [Click Here to Access the Original Job Post]
We invite applicants for a Phd Candidate/Postdoctoral position in one of the following topics: 1) Machine learning methods for the analysis of single cell epigenomics data. 2) Sequence analysis algorithms for detection of interactions of long non-coding RNAs with DNA. Candidates will perform research on methods for analysis of single cell epigenomics and transcriptomics scATAC-Seq, scRNA-Seq and scBS-seq. These projects will be performed in collaboration with stem cell and medical specialists from the RWTH Aachen University. Qualifications: Applicants should hold a M.Sc./Ph.D. in Bioinformatics or Computer Science. Experience in the analysis of biological sequences, regulatory genomics and/or machine learning is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Linux. Experience with high performance computing is a plus. The working language of the group is English.
Requeriments :
Skills :
- genomic
- HPC
- Lunix/Unix
- Machine Learning
- Programing in C
- Programing in Python
- Programing Skills
- Programming in R
- Transcriptomics
Areas :
Additional Info:
The Bioinformatics Group RWTH Aachen University performs research on computational methods for analysis of epigenomics and transcriptomics data. Over the past years, we have developed methods for prediction of cell specific binding sites from open chromatin data (Gusmao et al., Bioinformatics, 2015; Nature Methods, 2016), inference of regulatory networks driving cell differentiation (Lin et al., NAR, 2015; Allhoff et al., Bioinformatics, 2015) and prediction of long noncoding RNA regulation via DNA-RNA interaction (Kalwa et al., NAR, 2016). [Click Here to Access the Original Job Post]