14 parallel-computing-numerical-methods-"Multiple" positions at Edith Cowan University in Australia
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Project Outline: The project will be situated within a program of research on the prevention of hospital acquired complications and will align with the Australian National Safety and Quality Health
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Project Outline: The autophagy-lysosomal pathway functions as a quality control mechanism to clear unwanted proteins, sugars, damaged organelles and multiple lines of evidence indicate
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university student experience Domestic abuse/intimate partner coercion, control, violence Supervisor(s): Dr Lesley Andrew My methodology expertise lies in qualitative and mixed method research. Project level
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. There is emerging evidence that exercise increases the effectiveness of these treatments as well. This research program is designed to better understand the specifics of exercise medicine prescription
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characterized and current methods for NFL measurement are not specific to a particular isoform. In this project, we propose to characterize the different gene and protein forms of NFL in the brain and blood
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cruciferous and allium vegetables in human studies. Desired Skills: Understanding of nutritional biochemistry. Ability to work as a team or independently, and manage time across multiple demands whilst
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mortality rate than non-caring counterparts. Caring can lead to multiple psychological changes, such as depression, which may manifest into physiological changes, for example, impaired immune function. A
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Project Outline: These projects will help to identify the prevention and diagnostic methods for the Alzheimer’s disease. These projects will use invitro and invivo methods to identify the suitable
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lean mass and poor function), osteoporosis, falls and fractures in numerous large cohorts. This work will help develop the evidence for vitamin K as part of cardiometabolic health. Desired Skills
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the molecular genetic mechanisms of AD and its common comorbid disorders. This project will be based on a secondary analysis of existing large-scale genetic data. Advanced statistical genetic methods will be