Lecturer Medical Imaging and Ai

6 months ago


Manchester, United Kingdom The University of Manchester Full time

CIMIM is interested in recruiting collegial and proactive new members, diversifying our Division's expertise, methods, and technology in medical image analysis to enable large-scale image-based phenotyping, imaging biomarkers engineering, virtual imaging trials, and novel in silico trials of medical devices within the broader context of regulatory science. From a methodological standpoint, we aim to expand our core and translational expertise in medical image analysis. Areas of interest are representation learning from multimodal medical imagery and other data sources, AI-enabled text and radiological data integration, generative AI methods for building virtual patient populations, causality and fairness in ML for in silico trials, geometric deep learning, and physics-informed ML for computational physiology.

**What we offer**

**What you’ll need**

Informal enquiries can be made to Prof Alex Frangi.

**What you will get in return**:

- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working - you can find out more here

Hybrid working arrangements may be considered.

Any CV’s submitted by a recruitment agency will be considered a gift.

**Enquiries about the vacancy, shortlisting and interviews**:
**Name**: Alex Frangi

**General enquiries**:
**Technical support**:
Please see the link below for the Further Particulars document which contains the person specification criteria.



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