-
quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
-
), behavioural experimentation and analysis, statistical data analysis (e.g. in R), molecular biology lab skills and familiarity with relevant scientific literature. Applicants must have, or be very near
-
’ treatment. You will join an established team, led by Professor Abhishek Abhishek and you will have a strong background in modelling and statistical analysis and have a willingness to learn and apply various
Searches related to phd statistics
Enter an email to receive alerts for phd-statistics positions