PhD Researcher in Multimodal Imaging for Renal Disease
3 weeks ago
Project Overview:
The University of Cambridge is seeking a highly motivated and enthusiastic PhD researcher to investigate the potential role of novel clinical and tissue imaging methods to better understand renal disease. The project aims to create a multiscale and multimodal model to better stratify patients, predict therapy response, improve detection of early response to treatment, and identify new metabolic targets for therapeutic innovation.
Key Responsibilities:
- Collaborate with Professor Ferdia Gallagher and Dr. Richard Goodwin to jointly evaluate how metabolic measurements from imaging and tissue can be used to phenotype kidney disease.
- Develop and utilize artificial intelligence and machine learning approaches to evaluate the molecular drivers for the metabolic signatures of disease on imaging across disease settings.
- Integrate diverse datasets across scales and create a powerful and versatile model for probing renal metabolism across spatial scales.
- Analyze and validate the impact of the models in datasets from multiple sites.
Requirements:
We are looking for a highly motivated and enthusiastic individual capable of thinking and working independently. Applicants should have or shortly expect to obtain a first or high 2:1 bachelor's degree from a UK university, or an equivalent standard from an overseas university, in a relevant subject such as imaging, physics, biology, biochemistry, chemistry, computational science, data analysis, artificial intelligence, machine learning, or medicine.
Funding:
The funding for this post is available for 4 years. Funding will cover the student's stipend and tuition fees at the UK rate. This studentship is also open to overseas students who meet the UK residency requirements (home fees) or who can cover the extra costs associated with international student fees through scholarships or funding schemes.
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