Sort by
Refine Your Search
-
adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
-
, and improve processes for efficient student reimbursement. Organise training tariff visits: schedule with providers/staff, prepare documents, and inform students of meeting details via Minerva
-
recruitment & selection activities from scope to appointment. These include launching internal and external advertising, scheduling interviews, contacting referees, facilitating interview exercises, processing
-
responsibility for the effective and timely delivery of Service Level Agreements. Schedule student examination timetables, using data from the Corporate Information System. Undertake line management
-
on main Campus and associated satellite sites. You will supervise a team of Cleaning Assistants to ensure cleaning schedules are adhered to, that documented standards are monitored, maintained and organise
-
Deadline: Applications accepted all year round Details The aim of this project is to develop scalable and efficient techniques and algorithms for localisation in different environments, based on data in
-
information extraction. Advanced algorithms will be developed to obtain useful information such as the 3D flame topology and spread velocity. The candidate should have a good background in mathematics and they
-
the charging schedule (V1G) to consume energy at optimal times. Another form incorporates equipment that allows the vehicle to discharge energy back into the household or the grid (V2X). This project aims
-
using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective