Fully Funded PhD in Biostatistics: Win Ratio Methods for Hierarchical Composite Outcomes in Complex Intervention Trials The University of Manchester in United Kingdom

University of Oxford’s Botnar Research Centre is advertising a PhD/DPhil project in clinical epidemiology and medical statistics focused on emulating and extending randomised controlled trials (RCTs) using routinely collected real-world medical record data from Europe. The project explores the benchmark – expand – calibrate approach for causal inference across different data types, including electronic health records from the UK and other European countries, and across multiple study types such ...

PhD opportunity at the University of Oxford in Agentic AI for Analytical Code Development to Support Regulatory Real-World Evidence Generation (Botnar-2026-04). This DPhil in Clinical Epidemiology and Medical Statistics is a 3.5-year project based at the Botnar Research Centre , University of Oxford, focused on using agentic artificial intelligence and large language models to translate study protocols into reproducible analytical code for real-world evidence studies. The project sits at the int...

PhD opportunity at the University of Oxford in Development and Validation of External Control Arm Methodology Using Clinical Trial and Real-World Data (Botnar-2026-03). This DPhil in Clinical Epidemiology and Medical Statistics focuses on developing and validating external control arms (ECAs) using routinely collected real-world healthcare data and electronic health records. The project will compare ECA-derived treatment effects with completed randomized controlled trials, assess the value of li...

Postdoctoral Research Assistant in AI at the Centre for Tropical Medicine and Global Health , University of Oxford, UK. This post is part of the PANDAI (European Pandemics AI Observatory) programme, a Horizon Europe-funded international research initiative focused on artificial intelligence , machine learning , pandemic preparedness, outbreak detection, forecasting, risk assessment, monitoring, and public health response. The role involves developing and evaluating novel AI/ML methods using larg...

Vrije Universiteit Amsterdam is advertising a 3-year Postdoc in causal machine learning and reinforcement learning within the Faculty of Science, embedded in the Quantitative Data Analytics (QDA) group. The research sits at the intersection of machine learning and statistics , with a focus on algorithmic improvements for causal inference and reinforcement learning. The work will be applied in health-related settings through two major projects: Stress in Action (NWO-funded) and MINMED (ZonMW-fund...