Find a project - closed to applications for entry in 2026-27 — Nuffield Department of Women's & Reproductive Health

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Find a project - closed to applications for entry in 2026-27

Phospholipase C zeta (PLCzeta): Clinical prognosis, diagnosis, and treatment of oocyte activation deficiency (Professor Kevin Coward)

Developing methods for the in vitro culture of testicular tissue for future fertility preservation (Professor Kevin Coward)

Predictors of adverse outcome in pregnancy (Dr Lawrence Impey)

Understanding the pathophysiology of Endometriosis (Dr Jen Southcombe)

Building interpretable foundation models for predicting perturbation effects from high-throughput experiments (Professor Christopher Yau)

Artificial intelligence-based for the prognostic classification of High Grade Serous Ovarian Cancer (Professor Christopher Yau)

Bottom-up phenotyping of tissues across cell-types (Professor Christoffer Nellaker)

Stratifying Menopause Patients towards a personalised medicine approach (Dr Hannah Currant)

Novel computational methods for next-generation “digital” clinical trials (Professor Kazem Rahimi)

Multimodal AI on clinical and molecular “multi-omics” data for unmasking cardiometabolic disease mechanisms and multimorbidity (Professor Kazem Rahimi)

Shedding light into early embryogenesis of turtles (Dr Antonia Weberling)

Understanding reproductive tract morphology across age in middle-European carnivores (Professor Suzannah Williams)

Design novel computational methods to understand ageing (Professor Kazem Rahimi)

The effect of reproductive hormone variation on human biochemistry and health (Dr Hannah Currant)

Interactions between menopausal hormone therapy and other drugs in polypharmacy (Dr Hannah Currant)

The Effect of Glucose on Follicle Health (Professor Suzannah Williams)

Exploring the Effect of Ultra-Processed Food on Female Fertility (Professor Suzannah Williams)

Uncovering ovarian morphology across age in the common hippo (H. amphibius) (Dr Antonia Weberling)

Developing a diagnostic framework to understand and reduce maternity disparities (Dr Pedro Melo)

Improving pregnancy outcomes through analysis of national registry data (Tommy’s Net) (Dr Pedro Melo)