Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Berenice Villanueva Aguilera in the School of Education at Durham University. This project will develop the analysis of evidence of educational interventions currently presented in the Early Years Evidence
-
Facilities Directorate provides essential services to Durham University and is responsible for managing, maintaining and developing the infrastructure and building fabric of the various campuses. Further
-
relationships to support financial planning, investment appraisal, business case development, scenario modelling and long-term financial sustainability. The Finance Business Partner acts as a strategic adviser
-
covered. We have ample parking across campus, a cycle to work scheme which helps you to buy a bike and discount with local bus and train companies. You can also take advantage of our cost-effective and
-
influence opportunities to enable a technical career. It collaborates with environmental science partners to develop opportunities for young people to consider a career in environmental science. It will
-
affairs and project activity, working closely with colleagues across the five North East universities. This is an early-career opportunity for a recent graduate looking to develop experience in policy
-
). • No matter how you travel to work, we have you covered. We have ample parking across campus, a cycle to work scheme which helps you to buy a bike and discount with local bus and train companies. You can also
-
). • No matter how you travel to work, we have you covered. We have ample parking across campus, a cycle to work scheme which helps you to buy a bike and discount with local bus and train companies. You can also
-
development and training; character development through the Oxford Character Project; and six weeks working with a community of need in a global setting. The post holder will have responsibility
-
4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve