206 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" uni jobs at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
track record of steering complex projects to successful delivery. You’ll need to work confidently with sensitive information, negotiate effectively, build productive partnerships, and keep multiple teams
-
The Department of Engineering Science at the University of Oxford is one of the largest and most innovative research and teaching departments in the UK. With strong interdisciplinary links across
-
The Oxford Department of International Development (ODID) is seeking to recruit an advisors and Networks Coordinator who will be working within the Technology and Industrialization for Development
-
will operate with a high degree of autonomy, shaping campaign structure, optimisation approaches and budget allocation to maximise ROI and support recruitment objectives, while providing expert guidance
-
techniques, including mammalian cell culture, CRISPR-based genome engineering, protein purification, enzyme characterisation and LC-MS. You will design and perform experiments, manage your own research and
-
multidisciplinary team. Managing multiple projects, prioritising goals, and meeting deadlines are important, as is working methodically with attention to detail and accuracy. An appropriate level of proficiency in
-
: Chartered status with a relevant professional body (RICS or CIOB) with experience in building surveying and project management Strong technical knowledge of traditional and modern building construction and
-
team, construction professionals, and other University stakeholders to ensure the successful delivery of the Sherrington Refurbishment Project. The ideal candidate will have strong intellectual and
-
are looking for someone with legacy and major gift fundraising experience, excellent project management skills and the ability to prioritise workload when supporting multiple stakeholders. You will also possess
-
a DPhil/ PhD in mathematical immunology or a related discipline, have experience of multiple mathematical approaches applied to biology such as, dynamic systems, agent based, and statistical. Coding