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Postdoc: Spatial AI for Equitable Disease Modelling

Unist

Greater London

On-site

GBP 48,000

Full time

Today
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Job summary

A prestigious university in London seeks a Postdoctoral Research Associate in AI for Equitable Disease Modelling. The role involves leading the development of computational models for infectious disease risk, collaborating with esteemed partners. Candidates should have a PhD in a related field, programming expertise in R or Python, and strong communication skills. This full-time position offers a competitive salary and is crucial for advancing equitable public health solutions.

Benefits

Professional development entitlement
Collaborative research environment
Access to digital health initiatives

Qualifications

  • Track record in publishing peer-reviewed papers.
  • Demonstrated ability to collaborate effectively within teams.
  • Excellent written and oral communication skills.
  • Experience managing stakeholder relationships.
  • Experience working on interdisciplinary research projects.

Responsibilities

  • Develop new computational and mathematical models for disease risk.
  • Test assumptions about differential disease risk using real-world data.
  • Collaborate with national and international partners on research.

Skills

Developing complex models
Programming in R or Python
Strong communication skills
Stakeholder management
Interdisciplinary research

Education

PhD in applied mathematics, statistics, engineering, or related discipline

Tools

R
Python
Git
Spatial and statistical libraries
Job description
A prestigious university in London seeks a Postdoctoral Research Associate in AI for Equitable Disease Modelling. The role involves leading the development of computational models for infectious disease risk, collaborating with esteemed partners. Candidates should have a PhD in a related field, programming expertise in R or Python, and strong communication skills. This full-time position offers a competitive salary and is crucial for advancing equitable public health solutions.
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