335 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Field
- Economics
- Medical Sciences
- Business
- Computer Science
- Biology
- Psychology
- Engineering
- Materials Science
- Mathematics
- Education
- Humanities
- Science
- Social Sciences
- Chemistry
- Earth Sciences
- Linguistics
- Environment
- Arts and Literature
- Electrical Engineering
- Law
- Philosophy
- Physics
- Sports and Recreation
- 13 more »
- « less
-
Employee Assistant Programme Family leave schemes Cycle and electric car loan schemes Childcare services Discounted bus travel and season ticket travel loans More information is available at Staff Benefits
-
major initiatives, and aligning practice with architecture, data and service design principles. The role includes responsibility for resource and budget management, developing capability frameworks and
-
, and other team members, and contribute to the development of information management systems to improve grant administration across the department. It is essential that you must have a degree or
-
within a team. You will have up-to-date knowledge of UK employment law, and awareness of data protection and information security guidelines. You will enjoy providing a high level of customer service and
-
contact details of two referees. The supporting statement should explain how you meet the essential criteria for the post using clear examples. Please click here for information and advice on writing
-
of managing financial data, ideally in a finance setting, and will be highly numerate with strong attention to detail. Previous experience of using Oracle would be advantageous. What We Offer As an employer, we
-
(RCTs). For Grade 7 applicants, you must also be fluent in trial design and skilled in statistical techniques relevant to RCTs. Clear communication of statistical information in simple terms is essential
-
5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance
-
Process Informal enquiries may be addressed to Nadine Gilhome (nadine.gilhome@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
-
Development Review (PDR) process, to promoting apprenticeships, coaching, LinkedIn Learning and leadership development. You will also play a central role in our move to improve our data and digital fluency