Do you have a Master’s degree and are looking for fully funded PhD opportunities? University of Auckland, New Zealand is now accepting applications for several funded PhD programs across a range of research areas.
1. Fully Funded PhD in Electromechanical mapping of the gut using flexible electronics and cameras
Summary of Funded PhD Program
Gut motility, or peristalsis, facilitates nutrient uptake and excretion of waste via mixing and breakdown of food. This is accomplished via coordinated mechanical contractions of the gut wall, which are governed by complex muscular, hormonal and neural inputs. In this project multi-modal techniques will be developed and utilised, involving flexible electronics and cameras, to gain an integrated understanding of the control mechanisms of the gut.
Application Deadline: Open until filled
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2. Fully Funded PhD in Meal optimisation to control glucose levels in people with diabetes
Summary of Funded PhD Program
In diabetes, guidance of diet and exercise regime is often based on sub-optimal one size fits all approaches, so, many receive acceptable guidance, but none receive optimal guidance. We can improve guidance using digital twins capturing all relevant dynamics to personalise care. Incorporating wearable device data, this project aims to develop a patient-specific digital twin model of glucose and insulin dynamics that accounts for patient meal intake and exercise. By fitting the model to patient data every time the patient eats a meal we can deduce trends in patient condition vs meal type and timing that can be used to predict forward in time for specific meal plans.
Application Deadline: Open until filled
3. Fully Funded PhD in Hetero-dimensional cardiovascular digital twins for precision medicine
Summary of Funded PhD Program
This project aims to develop integrated computational and software tools to streamline the generation of efficient, purpose-specific CVS models of variable complexity, leveraging 0D-1D-3D coupled components (heart and vessels). These tools will be based on energy-preserving coupling techniques between multi-dimensional cardiovascular components, and efficient algorithms for parameter identification based on available clinical data. This methodology will allow to simplify or extend a CVS model by switching 0D/1D/3D components on demand in different CVS portions and by reducing anatomical regions that can’t be calibrated due to unavailable clinical measurements.
Application Deadline: Open until filled
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