Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
PhD Scholarship in Assistive Technology and Disability Job No.: 665632 Location: Clayton or Caulfield campus Employment Type: Full-time (expected to be full-time but may be part-time if health
-
, overseeing research procedures, and analysing data. Engaging in preclinical work utilizing rodent trauma models, neuropharmacology, neuroimaging (e.g., MRI), and cellular and molecular methods. Participating
-
longitudinal studies and data analysis. Produce conference and seminar papers, as well as research publications. Contribute to research proposal submissions for external funding. Engage in professional
-
the overall financial management of the University, the business analytical capability of the University, and its finance services and processes. About Monash University At Monash , work feels different
-
Standards is required for success in this role Excellent analytical skills, strong communication skills and experience working with financial reporting software, use of SAP would be highly regarded This role
-
to customer service excellence Ability to work independently and as part of a team Strong analytical and problem-solving abilities Excellent written and verbal communication skills Proficiency in Microsoft
-
people who discover them The Opportunity Monash Faculty of Information Technology is seeking an outstanding senior academic to join the Department of Data Science and AI, improving gender diversity in key
-
analysis plans, trial protocol development, interim monitoring and reporting. The work will also involve post-data lock analysis, significantly impacting the preparation of conference abstracts and peer
-
. Number offered The number offered varies based on available funding. Selection criteria Based on academic achievement. How to apply Can be deferred if the Industry partner agrees. Further information is
-
programs on composite plastic materials required for railway engineering application Applying research methodology, conducting experiments and modelling, data analysis and interpretation Preparing papers