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Self funded BMS Project: Parasite behaviour analysis using artificial intelligence


   York Biomedical Research Institute


About the Project

Applications accepted for PhD Only

Early diagnosis of bacterial or parasitic infections optimises the patient’s chances of survival. Biomedical technologies that identify the species and pathogen load are therefore critical to improving clinical outcomes. Recent advances in optical imaging and analysis [1,2] have demonstrated that videos acquired from streamlined imaging systems can yield rich sets of data on pathogen lifestyle and behaviour. These technologies could be combined with artificial intelligence algorithms that detect and classify pathogens and their response to treatment, vastly speeding up the process of identifying and treating disease.

This interdisciplinary project will offer the chance to gain skills in both microbiology and image analysis, as well as their application in the fields of bioengineering. This position is suited to someone with a background in either field, and training will be provided to supplement a candidate’s existing experience..

[1] Findlay et al., eLife v.10 e65051 (2021).

[2] Farthing et al., Opt. Express v25(23) p.28489 (2017).

The York Biomedical Research Institute at the University of York is committed to recruiting extraordinary future scientists regardless of age, ethnicity, gender, gender identity, disability, sexual orientation or career pathway to date. We understand that commitment and excellence can be shown in many ways and have built our recruitment process to reflect this. We welcome applicants from all backgrounds, particularly those underrepresented in science, who have curiosity, creativity and a drive to learn new skills.

Entry Requirements: Students with, or expecting to gain, at least an upper second class honours degree, or equivalent, are invited to apply. The interdisciplinary nature of this programme means that we welcome applications from students with backgrounds in any biological, chemical, and/or physical science, or students with mathematical backgrounds who are interested in using their skills in addressing biological questions. 

Programme: PhD in Biomedical Science (3 years)

Start Date: 1st October 2022

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Funding Notes

This is a self funded research project. Applicants need to have adequate funds to meet the costs of a self-funded research project including tuition fees and living expenses for the duration of the research programme.

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