47 data-"https:" "https:" "https:" "https:" "Paris Saclay university" scholarships at Monash University in Australia
Sort by
Refine Your Search
-
PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
-
health-related field Experience with mixed methods research, systematic reviews & data analysis Strong communication and organisational skills Australian citizenship or permanent residency (If applicable
-
dropped overall, a relatively high proportion (more than one-third) of young Australians have consumed alcohol at risky-levels. Together, these changes mean that we need better population-based data systems
-
at https://www.monash.edu/graduate-research/study/apply . How to Apply: To apply please follow the following steps: 1. Check that you are eligible to enrol in the program To be eligible for this scholarship
-
through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
-
candidates holding (or eligible to obtain) a valid student visa. Candidates with strong academic and research track records are particularly encouraged to apply. For further information, please follow the link
-
will receive a Research Living Allowance, at current value of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https
-
, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
-
understand where stars form, how stellar feedback changes their surroundings, and how matter moves through galaxies over time shaping them. Most of my research uses large astronomical data sets across
-
measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy