The CBG seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling molecular interactions to elucidate pathological mechanisms of Mitochondrial DNA-associated Leigh Syndrome (MILS), a rare severe pediatric disease affecting the central nervous system with typical manifestation in the form of intellectual and movement disturbances. In particular, the successful candidate will develop computational and statistical models using multi-omics data (including single-cell transcriptomics, proteomics, and metabolomics data) to identify potential molecular targets for subsequent drug repurposing in the context of MILS. The modeling methodologies include, but not limited to, network biology, bioinformatics, information theory, statistical modeling and machine learning, agent-based modeling and others
Requirements:
Ph.D. degree in biology, computer science, engineering, physics or related discipline; Strong computational skills (demonstrable project in the relevant field); A strong first-author publication record in the relevant field; Excellent communication skills and working knowledge of English
Text:
Postdoctoral Fellow in Computational Biology/Statistical Bioinformatics The CBG seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling molecular interactions to elucidate pathological mechanisms of Mitochondrial DNA-associated Leigh Syndrome (MILS), a rare severe pediatric disease affecting the central nervous system with typical manifestation in the form of intellectual and movement disturbances. In particular, the successful candidate will develop computational and statistical models using multi-omics data (including single-cell transcriptomics, proteomics, and metabolomics data) to identify potential molecular targets for subsequent drug repurposing in the context of MILS. The modeling methodologies include, but not limited to, network biology, bioinformatics, information theory, statistical modeling and machine learning, agent-based modeling and others Ph.D. degree in biology, computer science, engineering, physics or related discipline; Strong computational skills (demonstrable project in the relevant field); A strong first-author publication record in the relevant field; Excellent communication skills and working knowledge of English
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
