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Date: Fri Jun 17 02:39:57 2016
Subject: 16.06.17 Postdoctoral Research Fellow (Computational Biology), BioTrans, A*STAR
About the Agency for Science, Technology and Research (A*STAR)

The Agency for Science, Technology and Research (A*STAR) is Singapore's
lead public sector agency that spearheads economic oriented research to 
advance scientific discovery and develop innovative technology. 
Through open innovation, we collaborate with our partners in both the 
public and private sectors to benefit society.

As a Science and Technology Organisation, A*STAR bridges the gap between 
academia and industry. Our research creates economic growth and jobs for 
Singapore, and enhances lives by contributing to societal benefits such 
as improving outcomes in healthcare, urban living, and sustainability.  

We play a key role in nurturing and developing a diversity of talent 
and leaders in our Agency and Research Institutes, the wider research community 
and industry. A*STAR oversees 18 biomedical sciences and physical sciences 
and engineering research entities primarily located in Biopolis and Fusionopolis.

About the Biotransformation Innovation Platform (BioTrans)

The Biotransformation Innovation Platform (BioTrans) is a new research initiative under the 
Food, Nutrition and Consumer Care cluster (FNCC) in A*STAR. 
The platform aims to develop industry-relevant research around biotransformation and bioingredients production, 
with a focus on low volume, high value ingredients for the food, nutrition and consumer care industry.

A Postdoctoral position is available in BioTrans for a collaboration with
the Bioinformatics Institute. The candidate will work with the Structure-based
Ligand Discovery and Design group led by Dr. Hao Fan at the Bioinformatics Institute, A*STAR Singapore. 
The goal of the Fan labs research is to develop and apply computational methods to study protein-ligand 
interactions, focusing on human G protein-coupled receptors (GPCRs), 
transporters, and kinases.

We are seeking a highly motivated Research Fellow to work on the modeling
of GPCRs using a wide range of computational techniques (molecular docking 
and virtual screening, homology modeling and refinement, molecular dynamics 
simulations) to predict/design ligands and to study the molecular mechanisms 
for GPCRs. 


	PhD in Computational Biology
	1 to 2 years of experience in GPCRs is preferred
	Strong expertise in both protein structure prediction and virtual ligand screening.
	Strong programming/scripting skills.
We welcome interested applicants to email a full CV and contact details of two referees.  
All applications should be applied via the A*STAR career website
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