Machine minder job in Thetford

We currently have exciting opportunities forMachine Minder's to join our team in ThetfordThis post is working NIGHTSThe hours of work and shift patterns are: 4on 4offNights - 17:00 - 05:00 OR 18:00 - 06:00£13.80(+ 10% Night Shift Allowance between 10pm - 6am.)The factory is a modern environment with very good working conditions.Many of our staffhave progressed their careers through the business w

About the RoleA fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become a core member of a team researching power electronic converter design, control, construction and testing of power electronic converters in high power applications. The role will be responsible for gener

Job Title: Machine Operator Location: Burton Factory Shift – 12 hour shift, usually 2 days then 2 nights JOB PURPOSE This is a fantastic opportunity to join our famous Marmite site and become part of an enthusiastic and brand-driven team in the Burton-on-Trent Unilever factory. Our site has undergone recent expansion with the addition of a new sourcing unit and we are seeking experienced indi

... advantage of the latest advances in Artificial Intelligence (AI) and Machine Learning (ML).The successful applicant for this position will design novel data analysis and machine learning techniques to automate the capture of data within the setting and to provide data-driven, personalised insights to help staff make better care decisions. They will work with end users to design and deploy a so

Outline and Responsibilities: Maintenance of CNC multi axis machines Conducting both mechanical / electrical repairs and setup of machinery Breakdown response Planned maintenance tasks Continuous improvement activities Experience and Qualifications Required: Qualified to a minimum NVQ Level 3 in Maintenance or Engineering A strong CNC machine maintenance background is required, as much of your tim

... of aerodynamic tools of different fidelity, and the development of machine learning technologies in the context of aeroelasticity. There will also be opportunities to supervise post-graduate students and to get involved in other research streams within the same project. Within the Department of Aeronautics and Astronautics, you will be based in the Aerodynamics and Flight Mechanics resear

... enable adaptability of wearable and medical devices, and safer human-machine interaction. Machine Learning (ML) is an emerging technology with significant potential in integrating and embodying soft robotics technologies, but it is in its infancy in this area. This high-risk, high-gain project will provide a step-change and lead to advances at the frontiers of knowledge in soft robotics by cre