Sort by
Refine Your Search
-
. sleep deprivation). Shift workers, including nurses, are especially vulnerable due to the demanding nature of their schedules and tasks. In collaboration with CSIRO, Australia's national science agency
-
, or to enter and stay in Australia, without any limitation as to time. Applications are due by 31st May and 31st October each year. If you are interested, please contact Prof Kim Marriott, Director of MATS
-
guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
-
strategies. Carbon-Aware and Sustainable Scheduling Algorithms: Research Focus: Creating algorithms that factor in carbon intensity and renewable energy availability to minimize environmental impact. Skills
-
by the University. Enquiries: A/Prof Ben Beck, Head - Sustainable Mobility and Safety Research, ben.beck@monash.edu Position Description: Position Description Applications Close: Sunday 17 August 2025
-
Assoc Prof Liton Kamruzzaman, Prof Hai Vu, Prof Graham Currie, Prof Eric Miller (University of Toronto), and Prof Roger Vickerman (University of Kent). Together, the team aims to: Define sustainable size
-
learning. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: udo.bach@monash.edu ) Manipulating light at the nanoscale Supervisor: Dr Alison Funston, School of Chemistry
-
optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
-
, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
-
-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution