Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
opportunities, providing active and timely assistance to researchers in the grant application process, administering awards, and providing statistical research data. With a clear purpose, proactive staff and new
-
creative ambition, ensuring programs are supported by high-performing teams, integrated digital platforms, trusted data, and streamlined processes, positioning Monash to deliver impactful campaign outcomes
-
responsible for coordinating participant registrations, managing session logistics, supporting stakeholder communications and maintaining accurate program data, while building strong working relationships with
-
faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61 3 99051538 Please ensure that you
-
This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
-
for food and milk quality using microneedle and microfluidic technologies. You will conduct experimental work, analyse data, and share findings through publications and presentations, contributing
-
on clinical, genomics and functional dependency data (CRISPR, drug screens). Brain tumours represent the second most common cancer and the most common solid tumour in childhood in general. Paediatric brain
-
Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
-
nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make informed food choices and reduce diet-related emissions. Required knowledge Data analytics and software
-
research strengths and initiate an application, all in one place. Browse Research projects Honours and Masters project Supervisors Login Recently added Hybrid Quantum–Classical Algorithms for Scalable Data