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PhD Fellowships- Department of Psychology

Title: Four PhD Fellowships: Two in Psychology and Two in Statistical Analysis of Longitudinal Data

Value: These Fellowships cover full academic tuition fees at the Home/EU rate and maintenance grant in line with the UK Research Council standard maintenance grant (for 2016/17, the fee was £4,052 and the maintenance grant was £14,057 although these will increase slightly for 2017/18).

Deadline: Applications should be submitted by 28th February 2017.

Specific details on each project and how to apply can be found on the link provided.

Tue 17 January 2017, 15:38 | Tags: EU, Home, PhD

PhD Studentship - School of Life Sciences

Title: Understanding and mitigating against the causes of yield decline in pea

Value: This four year studentship is BBSRC funded and will cover full tuition fees at the Home/EU rate and an annual stipend of at least £14,296 (current RCUK 2016/2017 rate) and consumables.

Deadline: Applications should be submitted by 31st March 2017.

Project: The project is a collaboration between the University of Warwick and the Processors and Growers Research Organisation (PGRO). The successful candidate with join the MIBTP programme, which includes skills training in the first year.

Further information and details on how to apply can be found on the link provided.

Tue 17 January 2017, 14:46 | Tags: EU, Home, PhD

PhD Studentship - School of Engineering

Title: Mathematical modelling for clinical outcome prediction in kidney transplantation

Value: This three year studentship will cover full tuition fees (Home/EU students only) and an annual stipend of £14,656* (*estimated over 3 years). International candidates are welcome to apply, but will have to seek alternative funding sources.

Deadline: Open (flexible start date)

Project: This is a joint venture between the School of Engineering at the University of Warwick and the Kidney Transplantation Unit at the University Hospitals Coventry and Warwickshire. The project aims to apply dynamic systems approaches, based on modern machine learning algorithms, for the prediction of acute kidney rejection and chronic graft loss after kidney transplantation in patients with end stage renal failure. We would like to use mathematical modelling to identify the key factors associated with significant risk of kidney rejection and loss. The project will provide a unique opportunity for the PhD student to engage with the specialists from distinct research areas and gain working experience in highly cross-disciplinary environment. We are well-established team with joint publications, conference trips, research grants, and we meet on regular basis to exchange our research ideas and progress.

Further information and details on how to apply can be found on the link provided.

Tue 17 January 2017, 14:21 | Tags: EU, Home, PhD


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