Sort by
Refine Your Search
-
Listed
-
Field
-
organisational skills. Experience of set up, operation and continuous improvement of administrative support systems and processes. Experience of managing and responding to customer enquiries. Experience
-
hands-on workshops to inspiring demo days and investor showcases Manage programme impact through smart data collection, reporting, and continuous improvement Establish and lead a high-performing team
-
created Organisational Effectiveness and Culture centre of expertise. The role holder will work closely with the Head of Workforce Strategy, Talent & Succession, Head of Performance and Associate Director
-
, organisational and workforce design, development, performance and a culture of belonging. The People Partner is a trusted advisor and coach to school, professional services (PS) or functional leadership teams
-
, driving performance by translating strategic plans into an aligned people agenda for delivery across a large and complex organisation. A successful track record of leading and developing a People Partnering
-
. This role will support the Edge Compute and Satellite Storage Service, within the Research Platforms Team, within RIT. It is primary focusing on supporting the National X-Ray Computed Tomography (NXCT
-
significant part of our high-performing fundraising programme. With responsibility for Regular and Leadership, Major gifts, Legacies, and the Donor Experience, you will lead a high-performing team to deliver
-
in the UK. Applications are welcomed from individuals who hold a PhD in physics, chemistry, materials science or another related field and have experience in the development of ultra-high vacuum
-
/SIMULINK. The research is part of a project to investigate future network performance funded by National Grid Electricity Transmission through the Network Innovation Allowance. You should have a PhD or
-
neural networks for whole-heart segmentation, co-registration, and shape reconstruction; (ii) utilise high-performance computing platforms to perform inference and quantitative phenotyping across the UK