Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, offices and partnerships around the world, over 7,000 students from more than 100 countries and over 100,000 alumni from 160 countries, we are a truly international institution. We aspire to developing
-
. We are seeking an experienced and highly driven professional to lead the Executive Support Team within the School of Agriculture, Policy and Development. This key role provides leadership and direction
-
provided within the School, through the development of new processes and the implementation of service improvements. This role will support research activity. You will have: Excellent organisational and time
-
and PG students in EU Law; The ability to provide excellent supervision to PhD students; Experience of academic leadership and wider contributions to academic life; A well developed 5 year research plan
-
regularly move between teams to ensure professional development. You will have: The ability to Follow all regulations & legislation including fire procedures, C.O.S.H.H. & accident procedures. Basic food
-
communications role. It’s a chance to amplify hope, drive action, and build a greener future through education. What You’ll Do Develop and deliver a national communications strategy for Climate Ambassadors Create
-
developing the University’s financial reporting ensuring reporting is accessible, accurate, meaningful, produced in a timely manner and appropriate for the target audience enabling informed decision making
-
provide high quality, professional administrative support across the Departments of Art and Film, Theatre and Television. This is a great opportunity for anyone interested in developing experience in
-
development, this role can be considered on a seconded basis for existing staff members. Internal candidates should discuss this with their line manager prior to applying. The University is committed to having
-
to two major projects, an international project led by the University of Reading on the development of eco-evolutionary optimality approaches to modelling vegetation and a NERC funded project led by