Sort by
Refine Your Search
-
Likert-scale statements and open-ended questions. Responses will be statistically analysed with qualitative data subjected to content analysis. Output 2: Paper presenting findings of the survey. Interviews
-
diverse ideas collaboratively. References: Epstein, J. M. (2008). Why model? Journal of artificial societies and social simulation, 11 (4), 12. D'Orsogna, M. R., & Perc, M. (2015). Statistical physics
-
strategies. This ResM project will combine molecular disease diagnosis, statistical/mathematical modelling of disease distribution and social science approaches to understand cultural practices impacting
-
to identify key biological pathways and targetable hubs in those signatures This is an opportunity to work on an interdisciplinary project at the interface between advanced statistics, bioinformatics and cancer
-
, eagerness to learn, and openness to criticism. A Research Master´s or MPhil degree or equivalent and expertise in programming/statistical tools (e.g. R, Python, Stata) and automated content analysis
-
, good clinical practice, medical statistics, time management, paper writing). Literature research Manuscript writing for submission to peer-reviewed journals) Attend weekly research meetings Other
-
information modelling; Development of a physics-based approach for assessing the structural behaviour of masonry arch bridges using high fidelity models; Development of real time statistical model for sensor
-
previous experience in statistical methodology is desirable. Potential students should provide an overview of how their qualifications and training fit with the project and can contact Dr S. K. Armstrong
-
and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics, chemistry
-
examining the failure mechanisms, d) develop conventional statistical approaches and artificial intelligence (AI) models from data provided by testing a large number of samples under controlled conditions to