Research Fellow: AI for Molecular Modelling
Research Fellow: AI for Molecular Modelling
Brunel University
London, United Kingdom
GBP 41,292 - 43,572 per year
The project aims to develop innovative computational approaches to predict which vertebrate species are most sensitive to endocrine-disrupting chemicals and to identify the molecular and structural features underlying differences in sensitivity. It will investigate nine families of nuclear receptors across fish, amphibians, reptiles, birds and mammals.
The Research Fellow will deliver the computational component of the project through protein structure modelling, molecular docking and detailed analysis of protein-ligand interactions. They will integrate these results with receptor-interaction data generated by the experimental collaborators at the University of Southampton to develop and evaluate artificial intelligence (AI) methods for predicting chemical binding and species sensitivity.
We are looking for a computational scientist with an interest in interdisciplinary research applied to biological and toxicological sciences. Preference will be given to candidates with knowledge and experience of protein molecular modelling, protein–ligand docking, machine learning methods for computational biology, and software development in Python.
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