Sort by
Refine Your Search
-
learning, or human-computer interaction would be advantageous. How to apply We are seeking expressions of interest from qualified domestic candidates who wish to apply for this PhD opportunity. This position
-
and Architecture (MADA) PhD admission requirements. Please refer to the MADA Graduate Research application page for eligibility criteria and application information. Shortlisted applicants will be
-
Industry PhD Scholarship Direct collaboration with an innovative Australian AI company Access to large-scale real-world industry datasets Industry placement throughout the PhD Access to Monash University's
-
AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
-
someone with strong quantitative skills and an interest in using data to answer policy relevant research questions. The successful applicant will work with large administrative and survey datasets and apply
-
language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
-
. Analysis of this data will employ both qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will
-
I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
-
is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
-
understand where stars form, how stellar feedback changes their surroundings, and how matter moves through galaxies over time shaping them. Most of my research uses large astronomical data sets across