Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the School of Mathematics, Statistics & Physics carries out world-class research in modern statistics and data science, with strengths in applied statistics and machine learning, applied probability
-
Overview Nature offers a mechanism - called homeostasis - by which life forms can maintain their physical integrity and well being. On the other hand, a series of machines, including robots, cannot
-
team, you will apply cutting-edge machine learning and deep learning techniques to dramatically reduce testing cycles. You will lead life cycle analyses, implement advanced health monitoring strategies
-
the successful applicant will develop novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic
-
manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop novel sensing approaches to combine with machine learning algorithms to solve real-world
-
, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
-
, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the RESTORE project, which aims to develop, test, and deploy
-
#content5-406934 , is participating in cutting-edge CELTIC MECON research project, focusing on network automation in 6G network architectures. The candidate aims to work in the following areas: Machine
-
computational biology / data science and have the ability to keep up with the latest advances in these areas (e.g. machine learning). You will be experienced in working in a Linux command-line environment and be
-
language processing (NLP), large language models (LLMs), machine learning (ML), and data visualization. The candidate will leverage their expertise in AI, statistics, and programming to design, develop, and evaluate