A post-doctoral fellowship programme for people with quantitative skills to address questions in biomedical research.
Application now open
Cross-Disciplinary Post-Doctoral Fellowship in Cancer Research (XDF)
We are looking for an early-career quantitatively trained scientist with an ambition to achieve an independent career in data-driven quantitative cancer research. One (1) position available. This can be hosted or in collaboration with the CRUK Scotland institute. Application deadline: 11th December 2023.
A post-doctoral level Programme for physicists, chemists, mathematicians, statisticians, engineers, computer scientists etc. seeking training to become leaders in Quantitative Biomedicine.
The XDF Programme partners the School of Informatics with the Institute of Genetics and Cancer to train genuinely cross-disciplinary researchers.
Biomedical data have already attained a scale, diversity and potential that are unprecedented.
The programme will be led by a board of Directors who will provide Fellows with diverse perspectives.
Cross-disciplinary Research Environment
Systems biology must be embedded in a cross-disciplinary environment with biologists, chemists, computer scientists, engineers, mathematicians, physicists, and physicians. Our fundamental mantra is that leading-edge systems biology should drive the development of relevant technologies, and these, in turn, should push the creation of the necessary computational tools for handling the relevant data (often big data). These approaches have transformed our understanding of biological complexity.
Lessons Learned as President of the Institute for Systems Biology (2000–2018) Leroy E.Hood