Sort by
Refine Your Search
-
This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
-
methodologies like machine learning, unstructured data analysis, etc., applied to substantive marketing topics like social media, digital advertising, digital platforms, etc. In addition, we would be keen to hear
-
discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
-
computer literacy, particularly with current project management software Experience in finance or sustainable finance, or a strong interest and proven ability to quickly grasp key issues within the industry
-
of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
-
, virtual screening, molecular docking, structure-activity relationship analysis, and machine learning. Candidates should embrace opportunities to tackle new problems and challenges as part of a dynamic team
-
technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
-
computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
-
to advance computer skills are desirable, but not essential. A valid driver’s license and willingness to drive to general practice clinics, patient homes and other care settings, will be required. This is
-
, Engineering or others related to the PhD topic) Excellent programming and/or robotics background, with a keen interest in human-robot interaction Prior knowledge of robotics and machine learning (e.g., relevant