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Modelling adaptive radiotherapy biomarkers

Funding:

Funded PhD

Duration:

3 years (full-time)

Application deadline:

Wednesday 23 January

About this project

There are several classic methodologies for evaluating radiobiological responses in tumours, but these are mostly focused on static responses post irradiation. Therefore, the development, validation, and standardisation of laboratory methodologies focused on biomarkers of adaptive radiotherapy responses remain an expanding area of research in the field.

project will be focused in developing and evaluating novel strategies for studying radiobiological biomarkers. We will use a multi-disciplinary approach with will include the following

  1. In silico modelling of hypoxic content, or ‘hypoxic index’, of tumours, with particular consideration to hypoxia-reoxygenation cycles
  2. dosimetry of irradiation strategies for 2D and 3D cancer cell models in hypoxic conditions, incorporating the use of gold standard approaches such as clonogenic assays and radiation-induced foci
  3. expansion of pre-clinical models for radiobiological studies, using our NPL (National Physics Laboratory)-validated irradiator.

The successful candidate will be expected to have a solid knowledge base in computational biology, bioinformatics, and/or cellular and molecular biology, ideally with some knowledge of cancer biology. The candidate must also show a willingness to work multi-disciplinary environment and NHS researchers, and embrace the area of computational biology.

The University's Postgraduate Training Scheme (PGTS) provides a range of generic and discipline-specific modules to support research students through their programme. 

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Funding

Full-time UK/EU and International PhD Scholarships will include tuition fees and maintenance (£14,777 in 2018/19) for three years, depending on satisfactory progress.

Entry requirements

Applicants should have a 1st class undergraduate degree in Cancer Biology, Computational Science, Computational Biology, Bioengineering, Bioinformatics, or a related discipline, or Masters level research qualification in a relevant discipline. A 2:1 may be considered, if combined with relevant experience.

Interviews will be held between 7 and 27 February 2019.

Successful applicants will be informed of the award as soon as possible and by 15 March 2019 at the latest.

Studentships will start on 16 September 2019.