Sort by
Refine Your Search
-
focuses on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall
-
learning for social good”. The PhD is based at the Department of Management Society and Communication (MSC). The scholarship is part of the seizmic Doctoral Network, based on a grant from the Marie
-
The PhD position is aimed at understanding the bias generation and amplification process in machine learning (ML), arguably one of the most relevant issues emerging from ML technology. The candidate
-
stories drives innovation and employee engagement. Learn more about AIR's Diversity, Equity, and Inclusion Strategy and hear from our staff by clicking here . The responsibilities for the position include
-
Machine learning Candidates are expected to have good knowledge in Artificial Intelligence and good programming skills in some of the following: Python, PyTorch library, OpenAI-Gym, Prolog, ProbLog, Answer
-
-driven techniques, such as machine learning approaches, will enrich the scope of the project. Students engaged in this project will potentially have the chance to collaborate with industry partners in
-
on technologies that have disruptive implications for international security and international law, including military and security applications of artificial intelligence (AI), data-driven warfare, biochemical
-
biosignal processing, particularly EEG and NIRS, with a preferred background in rehabilitation sciences or sports science. Proficiency in data analysis and familiarity with machine learning algorithms
-
1 Eligible courses All applicable HDR courses. Eligibility criteria Candidates with strong quantitative skills, including familiarity with statistical inference, multivariate statistics or machine
-
fall detection would be from video as it does not require wearing a device and remembering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due