Postdoc: Genome-Scale Metabolic Modelling for RBCs

1000scholars; West of England; Presencial; GBP 40.000 - 50.000; Jornada completa

Descripción de la vacante

University of Bristol invites applications for a Postdoctoral Research Associate in genome-scale metabolic modelling for red blood cell engineering. You will lead metabolic modelling within a collaborative Aerobic Engineering Biology programme, working with partners across academia and industry to design engineered red blood cells.

Located in Bristol, you will develop and apply genome-scale models, collaborate with experimental teams, and contribute to publications and progress reports while

Formación

• PhD (or near completion) in mathematics, bioengineering, engineering biology, bioinformatics, biotechnology or related field.
• Expertise in genome-scale metabolic modelling.
• Strong modelling and programming skills.
• Experience collaborating with experimental scientists.
• Excellent analytical and communication skills.

Responsabilidades

• Develop and refine genome-scale metabolic models of reticulocytes and mature red blood cells.
• Build mathematical models of engineered gene and enzyme circuits and integrate into metabolic frameworks.
• Analyse metabolomics and other datasets to study maturation and engineering.
• Collaborate with experimental researchers to validate models and optimise design.
• Contribute to project reports and dissemination through publications.

Conocimientos

Genome-scale modelling

Mathematical modelling

Programming

Collaborative research

Analytical skills

Communication skills

Educación

PhD or near completion

Descripción del empleo

University of Bristol invites applications for a Postdoctoral Research Associate in genome-scale metabolic modelling for red blood cell engineering. You will lead metabolic modelling within a collaborative Aerobic Engineering Biology programme, working with partners across academia and industry to design engineered red blood cells.

Located in Bristol, you will develop and apply genome-scale models, collaborate with experimental teams, and contribute to publications and progress reports while