Job ID: 567933
Job date: 2016-01-18
End Date:
Company : Université de Luxembourg / LCSB Country : Role : Postdoc
Job date: 2016-01-18
End Date:
Company : Université de Luxembourg / LCSB Country : Role : Postdoc
Job Description:
Applications are invited for a postdoctoral position in Systems Biomedicine available in the Molecular Systems Physiology Group (Prof. Dr. I. Thiele) at the Luxembourg Centre for Systems Biomedicine at the University of Luxembourg. The LCSB is accelerating biomedical research by closing the link between systems biology and medical research. Collaboration between biologists, medical doctors, computer scientists, physicists and mathematicians is offering new insights in complex systems like cells, organs, and organisms. These insights are essential for understanding principal mechanisms of disease pathogenesis and for developing new tools in diagnostics and therapy. The Molecular Systems Physiology group (http://thielelab.eu), at the LCSB, focuses its research on using and developing state-of-art computational approaches to investigate the links between diet and human health. Postdoctoral Position in Computational Biology (m/f) · Fixed-term contract: 1 year, with the option for extension up to 5 years, 40 hrs per week · Ref number: R-AGR-0652-11-B The successful candidate will work as part an international and interdisciplinary team dedicated to understand how nutrition influences human health and disease. We use state-of-the-art computational modeling methods, with emphasis on constraint-based modeling, to address this question. The successful candidate will generate and analyze multi-scale computational models of various cellular processes in human cells in the context of Parkinson's disease. The postdoctoral project is embedded in the multi-institutional SysMedPD project (http://sysmedpd.eu/) offering excellent scientific opportunities in a highly stimulating and interdisciplinary environment involving close interactions between medical, computational, and basic scientists. Applicants should hold a PhD in a related field (Systems Biology, Bioinformatics, Computational biology, or Biostatistics), have proven expertise in constraint-based modeling method application and development, have a strong background in molecular biology, programming languages (e.g., Matlab, Perl, etc.), statistics, and be highly motivated to solve biomedical problems. Excellent communication skills are essential. The position is located at the Luxembourg Centre for Systems Biology at the Belval Campus of the University of Luxembourg. For further information please visit our website http://thielelab.uni.lu Please apply online until 15th of February 2016. Desired start date is the 1st of March 2016. The University offers highly competitive salaries based on the candidate's experience and is an equal opportunity employer. Applications with a full CV, list of publications, short statement of research interests (one page) and names of three referees should be submitted online via the following link: http://emea3.mrted.ly/xl6k…
Additional Info:
[Click Here to Access the Original Job Post]
Applications are invited for a postdoctoral position in Systems Biomedicine available in the Molecular Systems Physiology Group (Prof. Dr. I. Thiele) at the Luxembourg Centre for Systems Biomedicine at the University of Luxembourg. The LCSB is accelerating biomedical research by closing the link between systems biology and medical research. Collaboration between biologists, medical doctors, computer scientists, physicists and mathematicians is offering new insights in complex systems like cells, organs, and organisms. These insights are essential for understanding principal mechanisms of disease pathogenesis and for developing new tools in diagnostics and therapy. The Molecular Systems Physiology group (http://thielelab.eu), at the LCSB, focuses its research on using and developing state-of-art computational approaches to investigate the links between diet and human health. Postdoctoral Position in Computational Biology (m/f) · Fixed-term contract: 1 year, with the option for extension up to 5 years, 40 hrs per week · Ref number: R-AGR-0652-11-B The successful candidate will work as part an international and interdisciplinary team dedicated to understand how nutrition influences human health and disease. We use state-of-the-art computational modeling methods, with emphasis on constraint-based modeling, to address this question. The successful candidate will generate and analyze multi-scale computational models of various cellular processes in human cells in the context of Parkinson's disease. The postdoctoral project is embedded in the multi-institutional SysMedPD project (http://sysmedpd.eu/) offering excellent scientific opportunities in a highly stimulating and interdisciplinary environment involving close interactions between medical, computational, and basic scientists. Applicants should hold a PhD in a related field (Systems Biology, Bioinformatics, Computational biology, or Biostatistics), have proven expertise in constraint-based modeling method application and development, have a strong background in molecular biology, programming languages (e.g., Matlab, Perl, etc.), statistics, and be highly motivated to solve biomedical problems. Excellent communication skills are essential. The position is located at the Luxembourg Centre for Systems Biology at the Belval Campus of the University of Luxembourg. For further information please visit our website http://thielelab.uni.lu Please apply online until 15th of February 2016. Desired start date is the 1st of March 2016. The University offers highly competitive salaries based on the candidate's experience and is an equal opportunity employer. Applications with a full CV, list of publications, short statement of research interests (one page) and names of three referees should be submitted online via the following link: http://emea3.mrted.ly/xl6k…
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Modeling
- Programing Skills
- Programming in Matlab
- Programming in PERL
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]