Start Date
Immediate
Expiry Date
28 Apr, 25
Salary
3.017
Posted On
28 Jan, 25
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Spss, Health Sciences, Stata, It, Epidemiology, Statistical Software, Affinity, Nutrition, Communication Skills
Industry
Information Technology/IT
ABOUT THE PROJECT
Type 2 diabetes causes a significant disease burden worldwide. Previous research shows that factors in our environment, such as neighborhood walkability, green space, air pollution, and noise pollution, are associated with type 2 diabetes. Some associations are explained by lifestyle behaviors, such as physical activity, eating habits, and sleep, which are risk factors for the development of type 2 diabetes. However, most of the current evidence comes from cross-sectional studies, where causality cannot be established. For policy recommendations regarding environmental changes, insight into causality is very important. Since randomized studies are often not possible, research into the living environment requires innovative epidemiological studies. We use large longitudinal datasets, innovative analytical methods (e.g., causal inference), and unravel biological principles to gain more insight into the causality of the associations between the living environment and the incidence and progression of type 2 diabetes.
Would you like to know more about the different phases within the PhD trajectory? You can read more about this on this page.