Publisher
source

Dr. Ajay B. Harish, FHEA

Top university

1 year ago

Ophthalmology University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Deadline

Expired

Country flag

Country

United Kingdom

University

The University of Manchester

Social connections

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Where to contact

Official Email

Keywords

Computer Science
Machine Learning
Ophthalmology
Biomedical Engineering
Healthcare Management
Healthcare
Tabular Data
Eye Sciences
Vision Care

About this position

PostDoc & PhD Opportunity

at The University of Manchester

About Project/Area: To building machine learning models to revolutionise vision care and eye sciences.

postdoc
phdposition
phdopportunity
ophthalmology
eyesciences
eyeresearch
machinelearning
visioncare
postdocopportunity
postdocfellowships
healthcarejobs
fellowships

We would be looking for one postdoc and one Ph.D. student who are interested to contribute to building machine learning models to revolutionise vision care and eye sciences. If you have a background in machine learning and you would like to use your knowledge to enhance healthcare, then do write to us. Note that the ML work is related to tabular data rather than images/simulations only.

Background: Ophthalmology is one of the busiest divisions of the NHS. There are over 650K patients today on a backlog, i.e. ~10% of the entire NHS backlog. Average waiting times are >2 months with just 64% patients being seen within a standard 18-week window. In general the Ophthalmology supports around 0.5M operations per year (about 6% of NHS) with >7.5M outpatient appointments.

We are working on developing machine learning models to build the next-generation of clinical techniques. If this all sounds exciting, then do write to me at [email protected] .

With your email, please do attach your CV and let me know:
1. Why this is of interest to you?
2. How does your background prepare you for this?

More links to follow.

Eyesciences Visioncare machinelearning Biomedical

How to apply

Email [email protected] with CV and responses to specific questions

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