-
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
-
PGT programmes. About You The successful candidate will have experience of using virtual learning environments, knowledge of learning technologies and skilled at working with computer-based record
-
health is essential. Knowledge and application of machine learning, Chat GPT or other AI software would be desirable. Further particulars are included in the job description. The post is full-time 35 hours
-
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
-
to recruit a part-time Research Assistant for the project Music Production Style Transfer (ProStyle). The role is to investigate machine learning approaches by which a production style may be learnt from
-
machine learning techniques to analyse large data sets held within the network, with the aim of producing novel findings within the field of metabolic ageing. The role will involve engaging with academics
-
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
-
on appointment) and maintain a valid SIA License and an Appointed Person First Aid qualification. In addition, the applicant should have a good command of spoken English, computer literate with knowledge
-
external signed-for mail & parcels; Assisting in the upkeep of all outside areas e.g. cloisters, car parks, approach roads & inner quadrangle to ensure that all areas are tidy at all times; Undertaking