Job ID: 436489
Job date: 2017-01-30
End Date:
Company : The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute Country : Role : Research Scientist
Job date: 2017-01-30
End Date:
Company : The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute Country : Role : Research Scientist
Job Description:
The Research Group Systems Biology and Bioinformatics invites talented and highly gifted candidates to apply for a Doctoral researcher position (Systems Biology) starting as soon as possible. The project is part of an international collaboration with Queen Mary Hospital, the flagship teaching hospital of The University of Hong Kong (Hong Kong). Our group has previously developed in house pipelines for the independent analysis of metagenomic, metatranscriptomic and meta-metabolomic data. In the framework of this project these pipelines will be further revised and upgraded to accommodate combined analysis for a large number of multi-meta-omic samples. Furthermore, we plan to integrate in novel ways these meta-omic datasets for modelling the association of microbial communities and C. albicans. We expect that our analysis will reveal the microbial compositions of the fecal microbiota that predicts subjects at risk for overgrowth and dissemination of C. albicans and suggest microbiome-based therapeutic interventions to reduce the risk of the disease development. Your profile: A strong interest in conducting collaborative research on the topic outlined above is paramount. Candidates are expected to be interested in working at the boundaries of several research domains. -Master´s degree in Systems Biology, Computational Biology, Bioinformatics, Biophysics or a related discipline. -Knowledge in statistical methods in the context of biological systems. -Experience with programming (Python, Perl, C++, R).
Additional Info:
The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. We offer The successful candidate will be hosted at the Systems Biology and Bioinformatics (SBI) group and directly supervised by the Head of the SBI group, Dr. Gianni Panagiotou. We offer an international and multi-disciplinary environment with the required qualifications and a strong expertise in the proposed research field. Currently the group consists of 17 members at different levels of seniority (Post-Doctoral Scientists, doctoral researchers, Master students, Scientific co-workers). More information for the research output of the group in the field of systems microbiome biology can be found here http://sbb.hku.hk/publications.html Salary is paid according to German TV-L (salary agreement for public service employees). As an equal opportunity employer the HKI is committed to increase the percentage of female scientists and therefore especially encourages them to apply. Further information: Dr. Gianni Panagiotou | +49 3641 532 1759 | gianni.panagiotou@hki-jena.de Complete applications in English should include CV, certificates, transcripts, a brief statement of research experiences and interests and the addresses of two possible referees, and should be submitted by 28.02.2017 via https://orthos.hki-jena.de/jobs/job-offers[Click Here to Access the Original Job Post]
The Research Group Systems Biology and Bioinformatics invites talented and highly gifted candidates to apply for a Doctoral researcher position (Systems Biology) starting as soon as possible. The project is part of an international collaboration with Queen Mary Hospital, the flagship teaching hospital of The University of Hong Kong (Hong Kong). Our group has previously developed in house pipelines for the independent analysis of metagenomic, metatranscriptomic and meta-metabolomic data. In the framework of this project these pipelines will be further revised and upgraded to accommodate combined analysis for a large number of multi-meta-omic samples. Furthermore, we plan to integrate in novel ways these meta-omic datasets for modelling the association of microbial communities and C. albicans. We expect that our analysis will reveal the microbial compositions of the fecal microbiota that predicts subjects at risk for overgrowth and dissemination of C. albicans and suggest microbiome-based therapeutic interventions to reduce the risk of the disease development. Your profile: A strong interest in conducting collaborative research on the topic outlined above is paramount. Candidates are expected to be interested in working at the boundaries of several research domains. -Master´s degree in Systems Biology, Computational Biology, Bioinformatics, Biophysics or a related discipline. -Knowledge in statistical methods in the context of biological systems. -Experience with programming (Python, Perl, C++, R).
Requeriments :
Skills :
- Biology
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- Statistics
Areas :
Additional Info:
The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. We offer The successful candidate will be hosted at the Systems Biology and Bioinformatics (SBI) group and directly supervised by the Head of the SBI group, Dr. Gianni Panagiotou. We offer an international and multi-disciplinary environment with the required qualifications and a strong expertise in the proposed research field. Currently the group consists of 17 members at different levels of seniority (Post-Doctoral Scientists, doctoral researchers, Master students, Scientific co-workers). More information for the research output of the group in the field of systems microbiome biology can be found here http://sbb.hku.hk/publications.html Salary is paid according to German TV-L (salary agreement for public service employees). As an equal opportunity employer the HKI is committed to increase the percentage of female scientists and therefore especially encourages them to apply. Further information: Dr. Gianni Panagiotou | +49 3641 532 1759 | gianni.panagiotou@hki-jena.de Complete applications in English should include CV, certificates, transcripts, a brief statement of research experiences and interests and the addresses of two possible referees, and should be submitted by 28.02.2017 via https://orthos.hki-jena.de/jobs/job-offers[Click Here to Access the Original Job Post]