Postdoctoral Position: Development of computational methods for human systems biology
We are looking to recruit a highly motivated postdoctoral fellow to join a growing research effort focusing on systems biology of human metabolism. The laboratory is part of the Center for Systems Biology at the University of Iceland (CSB). The research at the Center for Systems biology focuses on 1) human metabolism and 2) industrial biotechnology. The Center is an interdisciplinary center with the Schools of Medicine, Engineering and Natural Sciences participating.
The CSB has been awarded a grant to characterize human disease using a systems biology approach. The research effort focuses on 1) expanding the currently available human metabolic reconstruction, 2) discovery of new functions and pathways in human metabolism using computational and experimental techniques, 3) phenotyping of human cell lines using metabolomic techniques, 4) computational and experimental analysis of metabolic changes associated with disease, and 5) high-throughput drug screening. We use the state-of-the-art computational methods to guide and design human cell culturing experiments as well as metabolomic measurements. These technologies are embedded in a biologically driven research program that aims at systematic understanding of human metabolism, disease manifestation and drug target identification.
The successful candidate will be expected to process and employ high-throughput data (transcriptomic and metabolomic data) to generate cell- and tissue specific models, which will allow simulation of normal and disease states. The postholder will develop and improve computational methods based on operation research approaches. The project includes the interrogation of metabolic networks and translation of quantitative HT data as model constraints. Furthermore, the postholder will be involved in other projects in the group and at the CSB requiring development of computational methods.
The ideal candidate will hold a PhD in Bioinformatics or related field and have a strong background in computational modelling, operation research, statistical analysis, high-throughput data analysis and biology. All projects at the CSB are interdisciplinary; therefore, a strong motivation to collaborate with experimental groups is required. Excellent programming skills are required. Knowledge of human metabolism and drug metabolism is of benefit. Furthermore, the candidate must be fluent in English. In addition, the candidate must have excellent communication and interpersonal skills and be capable of working within a team of biologists and programmers. All applications and inquires should be directed to Professor Ines Thiele ( systemsbiology@hi.is ).
Source: http://www.systemsbiology.is/PostDocComMethHumSys
The CSB has been awarded a grant to characterize human disease using a systems biology approach. The research effort focuses on 1) expanding the currently available human metabolic reconstruction, 2) discovery of new functions and pathways in human metabolism using computational and experimental techniques, 3) phenotyping of human cell lines using metabolomic techniques, 4) computational and experimental analysis of metabolic changes associated with disease, and 5) high-throughput drug screening. We use the state-of-the-art computational methods to guide and design human cell culturing experiments as well as metabolomic measurements. These technologies are embedded in a biologically driven research program that aims at systematic understanding of human metabolism, disease manifestation and drug target identification.
The successful candidate will be expected to process and employ high-throughput data (transcriptomic and metabolomic data) to generate cell- and tissue specific models, which will allow simulation of normal and disease states. The postholder will develop and improve computational methods based on operation research approaches. The project includes the interrogation of metabolic networks and translation of quantitative HT data as model constraints. Furthermore, the postholder will be involved in other projects in the group and at the CSB requiring development of computational methods.
The ideal candidate will hold a PhD in Bioinformatics or related field and have a strong background in computational modelling, operation research, statistical analysis, high-throughput data analysis and biology. All projects at the CSB are interdisciplinary; therefore, a strong motivation to collaborate with experimental groups is required. Excellent programming skills are required. Knowledge of human metabolism and drug metabolism is of benefit. Furthermore, the candidate must be fluent in English. In addition, the candidate must have excellent communication and interpersonal skills and be capable of working within a team of biologists and programmers. All applications and inquires should be directed to Professor Ines Thiele ( systemsbiology@hi.is ).
Source: http://www.systemsbiology.is/PostDocComMethHumSys
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