Our Training Programme

Our programme offers students diverse training opportunities that complement lab based learning.  These include developing skills in computational analysis/machine learning/statistics applied to large datasets arising for example from genomics, proteomics and advanced imaging work. We view this aspect as being essential for future generations both in life sciences research and in the wider knowledge driven economy. We provide introductory training in the area during an introductory 8-week period and students then have the opportunity to build their skills through lab rotations and/or PhD project work.

“..students can build a unique training profile that is tailored both to their PhD and onward career plans”.

We have developed a flexible lab rotation system in which students start up to three 12 week rotation projects in labs of their choice, but also have the option to switch to starting their full PhD project at the end of any single rotation. This flexibility caters for students who have a clear idea of what they want to do and with whom at the start, and for students who want to experiment or receive more diverse training before starting their main project.

Our students also have courses and tutorials on research ethics, reproducibility and experimental design, discovering key technologies, entrepreneurship, writing skills and outreach/public science.  They learn how to present their research work by giving talks in lab meetings, a CDB programme retreat, a wider Medical Sciences symposium, and in departmental seminar series.  Finally, the University of Oxford offers a vast range of training courses and modules so that students can build a unique training profile that is tailored both to their PhD and onward career plans.

4035-204
year planner fig 2