Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
-
computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills
-
Telescope. This research may involve the analysis of large datasets, the generation of new simulations and the utilisation of Machine Learning techniques. The PDRA will be expected to hold a PhD in
-
computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
-
London. One focus of the Centre is to apply epidemiological and machine learning approaches to large-scale studies that have cardiac imaging available, such as UK Biobank, Study of Health in Pomerania
-
Bayesian networks, causal discovery/machine learning, Markov decision processes, decision theory, simulation Applicants are expected to broaden their knowledge in autonomous electromagnetic defence systems
-
have a PhD in a numerate field with expertise in machine and deep learning methods, supported by high quality publications. Experience of applying such methods to healthcare data is an advantage
-
at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
-
Science/Electronic Engineering (or equivalent). Applicants at the PDRA level must have a PhD in Computer Science or related field. Candidates must have substantial knowledge in Deep/Machine Learning, Audio and/or
-
contributions to student education and experience through curriculum development and the delivery of teaching activities in the subject areas of physics and artificial intelligence, machine learning, or data