Sort by
Refine Your Search
-
/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more - Benefits How to
-
to £55,755 with potential progression once in post to £62,728 Grade: 8 Full Time, Permanent Closing date: 31st August 2025 Interview date: W/c 15th September 2025 Academic Development Programme - new Assistant
-
Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
-
programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively
-
organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act
-
holidays), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a
-
research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
-
scientists to achieve scientific objectives. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research reports, papers, conference abstracts, patent
-
. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
-
. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work