Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
. If successful, you will join Dr. Roberto-Martinez Maldonado, Prof. Dragan Gasevic, and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University
-
in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
-
statistical evidence, and produce verifiable causal explanations that psychologists and clinicians can interrogate, extend, and challenge. By grounding LLM-generated hypotheses in identifiable causal structure
-
impacts the integrity of vital research. You'll work in a structured environment with clear guidelines, modern equipment, and a team that values your safety and contribution About Monash University
-
interpersonal and communication skills, with the ability to negotiate and build consensus across all organizational levels. About Monash University At Monash , work feels different. There’s a sense of belonging
-
they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
-
, scientific computing, automated data analysis, or computational modelling. Candidate Requirements Applicants will be considered provided they fulfil the criteria for PhD admission at Monash University. Details
-
-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
-
surveys and targeted observations are used to search for active galactic nuclei, trace star formation and measure stellar kinematics within galaxies. How galaxies grow within structures dark matter can be
-
networks so that they can accurately identify anomalies in the presence of concept drift. We would like to consider different types of changes in graph structures, such as emergence/deletion of new nodes