Sort by
Refine Your Search
-
population. The postholder will support the programme through the application of a range of techniques and/or to collect and analyse data that enable the project to progress. This position involves working
-
of material for digitisation and digital preservation You will ensure professional standards and ethics are complied with throughout all processes, including complying with information and rights legislation
-
well as the efficiency of the process. The project will involve conducting real time behavioural observations and collecting, analysing and reporting on behavioural and process data in situ, during catching and handling
-
associate to develop and use greenhouse gas modelling and data analysis frameworks for national and global emissions evaluation. This work will contribute to several exciting UK-wide and international
-
context-specific and flexible to school need. The Fieldworker will play a key role in data collection for our novel stepped wedge trial and intervention evaluation. The role can be considered part-time at a
-
sequencing. Maintaining detailed records and supporting data entry. Liaising with stakeholders to coordinate sampling schedules. Supporting general laboratory operations and compliance You have experience in
-
underlying mental health disorders and their treatment, adding to our strengths in brain plasticity and cognition, pain, biological rhythms and sleep. We encourage ‘big data’ or ‘Population Neuroscience
-
Population Health Sciences in Bristol Medical School. This two-year post is funded by a number of international studies, which will use modelling and data analysis to guide the prevention and treatment
-
candidate will be involved in and contribute to all aspects of the project including conducting a literature review, co-designing and building an online survey, conducting online interviews, data analysis, co
-
data, and digital process tools to support the scalable production of resilient, build-ready reactor components. Please contact Dr Kai Zhang (k.zhang@bristol.ac.uk) for further information. This project