Menu

Home / Opportunities / PhD Studentship - Learning from and outperforming nature: Computationally reconstructing and experimentally screening ancestral proteins to understand the evolution of signaling systems

Warning message

Cambridge-based members of C2D3 can log in to view more information about this opportunity.

PhD Studentship - Learning from and outperforming nature: Computationally reconstructing and experimentally screening ancestral proteins to understand the evolution of signaling systems

Closing date: 
Monday, 13 November 2023

Cancer Research UK Cambridge Institute

Dr Pau Creixell wishes to recruit a student to work on the project entitled: Learning from and outperforming nature: Computationally reconstructing and experimentally screening ancestral proteins to understand the evolution of signaling systems

For further information about the research group, including their most recent publications, please visit their website:
https://www.creixell-lab.com

https://www.jobs.cam.ac.uk/job/43053/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

Join us