Sort by
Refine Your Search
-
intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
-
project may also contain an application side where you can test your algorithms on power systems and energy markets. This is a 3.5 year scholarship. This funding opportunity is open to both home and
-
. Main duties and responsibilities Clean specified areas, according to the agreed schedules, using the appropriate techniques, materials and equipment. Respond to occasional cleaning requests from
-
postgraduate programmes, ensuring adequate moderation, providing written and oral feedback and collating and providing final student grades. Attend scheduled team meetings. Liaise between individual students
-
infrastructure and data. Your responsibilities will encompass planning, scheduling, and delivering engagement, governance, and data management activities. You'll facilitate agile workflows, including daily stand
-
the project. Plan your own research schedule and workload within the project schedule to ensure that the overall project milestones and objectives are met. Liaise closely with other academics, advisers and
-
obstacles to optimise team efficiency. Your responsibilities will encompass planning, scheduling, and delivering engagement, governance, and data management activities. You'll facilitate agile workflows
-
pages and campaign landing pages, ensuring they are up-to-date, inclusive, user-friendly, and optimised for search engines. Assists with social media activities, including content creation, scheduling
-
recruitment & selection activities from scope to appointment. These include launching internal and external advertising, scheduling interviews, contacting referees, facilitating interview exercises, processing
-
, 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