Systems Biology Ireland (SBI), UCD School of Medicine, is looking for a postdoctoral research fellow with excellent knowledge of bioinformatics and statistics and background knowledge in physics, chemical/control engineering or biophysics.
SBI is now expanding the research capacity into the analysis of effects of nanoparticles on human health. Our goal is to enable predictive nanotoxicology by quantitative understanding of interactions at nanoparticles with cells and tissues and determining specific toxicity pathways downstream of these interactions in the framework of the EU Horizon 2020 project “SmartNanoTox“. The main aim of the project is to study the toxicology of different nanoparticles in order to identify adverse outcome pathways. The successful candidate will:
- Analyze transcriptomic data using existing software packages to identify differentially expressed genes in in vitro and in vivo cells, exposed to different nanoparticles.
- Integrate existing knowledge with transcriptomic data generated in the consortium to reconstruct the transcription regulatory programs of the in vivo and in vitro toxicity markers for each nanoparticle.
- Use Bayesian algorithms to analyze proteomic data and reconstruct signaling pathways leading to nanoparticle induced transcriptional programs in in vivo and in vitro models.
- Develop statistical models to integrate the structural properties of the nanoparticles with their downstream pathway activities inferred in the project.
- Implement Bayesian/regression based approaches to simulate and predict the effects of different nanoparticles on downstream pathway activities.
Post title: UCD Post-doctoral Research Fellow Level 1
Post duration: Up to 31st Oct 2017 (renewable for a further 2 years & 4 months)
Application deadline: 22 June, 2016
Application: Must be submitted via UCD HR website
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