321 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "Brunel University London" uni jobs at Monash University
Sort by
Refine Your Search
-
Listed
-
Field
-
into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
-
problem-solving capability High computer literacy, including proficiency with Microsoft Office Substantial relevant skills and experience An understanding of the University environment and its dynamic
-
the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
-
for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
-
The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them using data extracted from software repositories. This fine-tuning process aims to enable the models...
-
to deliver high-quality technical services in support of our Geomechanics program. In this role, you will: Oversee and conduct a range of standard and specialist geotechnical tests. Train and supervise
-
for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
-
program assisted greatly in framing my perspectives of Singapore and region, identifying problems faced but also developing the leadership skills to craft solutions to them. There is also significant heft
-
Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
-
Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure Advisory System, or data from other implantable or wearable devices. This involves consideration of both...