Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- University of London
- DURHAM UNIVERSITY
- King's College London
- University of Liverpool
- Aston University
- Cardiff University
- Heriot Watt University
- Nature Careers
- University of Sheffield
- ; University of Kent
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Medical Research Council
- UNIVERSITY OF VIENNA
- University of Cambridge
- 8 more »
- « less
-
Field
-
have a number of generous benefits including 38 days' annual leave (inclusive of bank holidays and fixed closure days), generous pension schemes and free access to the Oxford colleges. The other benefits
-
financial benefits including: • An excellent contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes • Cycle loan
-
benefits including 38 days' annual leave (inclusive of bank holidays and fixed closure days), generous pension schemes and free access to the Oxford colleges. The other benefits include: Travel - We have
-
at work matters to us, so we offer a range of family friendly and financial benefits including: An excellent contributory pension scheme 38 days annual leave A comprehensive range of childcare services
-
manufacturing challenges. The AMMIC team will be undertaking a series of projects with industrial collaborators in the areas of: materials synthesis (e.g. PVD techniques, Metamaterials, etc.); digitalisation
-
inks, which are commonly applied to bank notes and passports. Lanthanide complexes are widely used in luminescent security inks due to their unique and robust photophysical properties such as finger
-
report from the Institute of Fiscal Studies as top in the country for social mobility. We welcome staff from diverse backgrounds and are keen to reduce the gender gap, whilst providing a positive and
-
and financial benefits including: • An excellent contributory pension scheme • 38 days annual leave • A comprehensive range of childcare services • Family leave schemes
-
series, research seminars, and workshops. Candidates will possess a PhD (or be close to completion) in any relevant area of Management. The successful candidate will have expertise in composing large
-
modelling of shapes changing in time, and involves mathematical and statistical techniques from statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics