Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
the research team to design and implement intergenerational play experiences. The PhD project will also involve creating Professional Learning modules and partnering with industry organisations to deliver and
-
PhD Scholarship Potential topics include an investigation of the public health promotion of the Sabin Oral Polio Vaccine (OPV) in Australia from 1966 and/or transnational histories of polio and
-
What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
-
Application dates Applications close20 April 2026 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
-
Application dates Applications close10 April 2026 What you'll receive You'll receive a stipend of $42,000 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
-
Scholarship Commonwealth Scholarship Commission: Commonwealth PhD Scholarships (for high income countries) Application is required. Key scholarship details Application status Open for applications
-
PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM
-
materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
-
PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
-
and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household