Job ID: 567771
Job date: 2016-01-18
End Date:
Company : Karolinska Institutet Country : Role : Postdoc
Job date: 2016-01-18
End Date:
Company : Karolinska Institutet Country : Role : Postdoc
Job Description:
We are seeking a highly motivated and enthusiastic postdoctoral fellow to study large-scale single-cell transcriptome regarding regenerative mechanisms (mainly in the CNS and the pancreas), at the Department of Cell and Molecular Biology, Karolinska Institutet. The position consists of a 2 years full time stipend with a possibility of a 2 years extension. The projects will be performed in the labs of Christian Göritz and Olov Andersson, see links: http://ki.se/en/cmb/christian-goritzs-group http://ki.se/en/cmb/olov-anderssons-group In particular, the successful candidate will perform computational analyses of single-cell RNA-seq data. In these projects we will generate “molecular signatures” of regeneration in several organs in order to understand the molecular principles that drive normalization of homeostasis, at a previously unprecedented level, using state-of-the-art single-cell RNA-seq. As such, the newly identified molecular cues will be functionally assessed as part of collaborations with other members of the laboratories. DESIRED SKILLS AND EXPERIENCE For this project, we seek a postdoctoral research fellow with expertise in computational analyses of RNA-seq data. Entry requirements: Computational analyses of single-cell RNA-seq data: We seek a candidate with strong background in genome-wide bioinformatics, including use of Python and/or R. Previous experience with RNA-seq data analyses is meriting. The candidate should be able to show documented expertise in visualizing RNA-seq data using various graphical interfaces. General requirements: A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD (as defined by the date written on the PhD-diploma) no more than two years before the start date of the postdoc stipend. The successful applicants must have the ability to work both independently and collaboratively in a group and have good English communication skills….
Additional Info:
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We are seeking a highly motivated and enthusiastic postdoctoral fellow to study large-scale single-cell transcriptome regarding regenerative mechanisms (mainly in the CNS and the pancreas), at the Department of Cell and Molecular Biology, Karolinska Institutet. The position consists of a 2 years full time stipend with a possibility of a 2 years extension. The projects will be performed in the labs of Christian Göritz and Olov Andersson, see links: http://ki.se/en/cmb/christian-goritzs-group http://ki.se/en/cmb/olov-anderssons-group In particular, the successful candidate will perform computational analyses of single-cell RNA-seq data. In these projects we will generate “molecular signatures” of regeneration in several organs in order to understand the molecular principles that drive normalization of homeostasis, at a previously unprecedented level, using state-of-the-art single-cell RNA-seq. As such, the newly identified molecular cues will be functionally assessed as part of collaborations with other members of the laboratories. DESIRED SKILLS AND EXPERIENCE For this project, we seek a postdoctoral research fellow with expertise in computational analyses of RNA-seq data. Entry requirements: Computational analyses of single-cell RNA-seq data: We seek a candidate with strong background in genome-wide bioinformatics, including use of Python and/or R. Previous experience with RNA-seq data analyses is meriting. The candidate should be able to show documented expertise in visualizing RNA-seq data using various graphical interfaces. General requirements: A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD (as defined by the date written on the PhD-diploma) no more than two years before the start date of the postdoc stipend. The successful applicants must have the ability to work both independently and collaboratively in a group and have good English communication skills….
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