47 programming-language "INSAIT The Institute for Computer Science" Fellowship positions at University of Birmingham
Sort by
Refine Your Search
-
initiative improving outcomes in diabetes emergencies PCOS SEVa – a national programme addressing variation in the quality of care for polycystic ovary syndrome (PCOS) Role Summary Work within specified
-
will lead a project funded by the Grace Kelly Cancer Childhood Trust to test the performance of this tool, further develop and improve the tool, increase the number and range of tumours the programme
-
. Main Duties Research and Innovation: Develop innovative research programmes aligned with IDAI's research themes Propose, plan, and execute research projects under the IDAI banner Contribute to grant
-
to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
-
expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
-
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
-
Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs
-
to the planning and 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
-
Contribute to the planning and 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
-
the appropriate area. 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