Post Doc Infectious Disease Epidemiologist & Modeller (m/w/d)

· To undertake high quality research, including contributing to drafting grant proposals; · To contribute to peer-reviewed publications and other outputs, including as lead author; · To make a contribution to doctoral student supervision and teaching, as appropriate to qualifications and experience; · To conduct research using health data generated in longitudinal diagnostic accuracy cohorts to improve decision-making in the presence of uncertainty and complexity, focusing primarily on making the best choices based on available information and maximizing the use of existing data; · To generate and apply advanced analytical methodologies to large datasets which include different types and sources of information (e.g. demographic, clinical, biological data); · To implement analyses and triangulate evidence from different methods, such as decision and risk analysis, simulation modelling, statistical inference, and machine learning; · To generate artificial/in-silico populations (produced by means of computer modelling or computer simulation); · To critically interpret findings and disseminate these through high-quality academic publications, conferences and other forms of dissemination that lead to appropriate translation or impact.