304 data-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
income/expenditure management High-level analytical, investigative and problem-solving skills, including the ability to interpret data and identify evolving trends/issues Highly-developed financial
-
briefings for senior leadership, synthesising complex information into actionable insights. What we’re looking for: Postgraduate qualifications or extensive experience in governance within a complex
-
We are living in the era of the 4th industrial revolution through the use of cyber physical systems. Data Science has revolutionised the way we do things, including our practice in healthcare
-
organisational skills, excellent written and verbal communication abilities, and an understanding of confidentiality, privacy and information-handling principles. You will demonstrate the capacity to work
-
. You will analyse data to inform decision-making, manage budgets and projects, strengthen compliance and quality frameworks, and cultivate productive partnerships across internal stakeholders. As the
-
(plus 17% employer superannuation) Drive research success as Senior Strategic Research Development Manager Collaborate across MNHS and University-wide portfolios Shape data-driven strategies for multi
-
, computer science, software/systems engineering, and data science. Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model-based systems engineering, safety-critical
-
source of type errors. This project will explore interactive visual tools (e.g. plugins for modern editors and integrated development environments) which clearly communicate this information
-
diabetes management system using a mobile app to rate foods based on the glycaemic response of an individual. AI models will be trained on both the food intake and blood glucose data, and learn from
-
cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models to tackle challenges in MRI reconstruction. By integrating MRI acquisition physics directly into