-
and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. You will lead and
-
instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
-
presentation of results of collaborative research projects. Most of your analytical work will be based on Real World Data (RWD), in many cases from datasets mapped to the OMOP common data model such as the
-
imaging data and possess sufficient specialist knowledge in brain imaging. The position is full time (part time considered) fixed term for two years. The closing date for applications is noon on 21 April
-
of ‘big data’ in biology, by exploiting genomic and functional genomic data to make discoveries that benefit human health. We are looking for an enthusiastic team-player to join the Sims group and the
-
diagnostics, utilising big data, developing digital health interventions and working internationally. We have methodological expertise in clinical trial design and implementation, clinical decision making and
-
. Responsibilities will include managing research studies independently, collecting and analysing qualitative data, writing publications (as lead author) and grant applications and providing expert advice
-
disease data with other existing data and cohorts (e.g. genomic, financial, pollution, meteorological, wearable). You will have a PhD in relevant scientific or numerate subject such as data science, or able
-
, screening, data extraction, synthesis (realist analysis), interpretation of policy documentation and debate articles, and formulation of an evidence-based programme theory. They will also organise and