208 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at University of London
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application
-
. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that
-
institutional visibility through coordinated, data-led content and campaigns. For a full role profile, please refer to the job description below. Further Information To be considered for this opportunity, please
-
of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI
-
Pilates classes included) Cycle to work scheme For further information please contact Sarah Wilshaw - sawilshaw@rvc.ac.uk We promote equality of opportunity and diversity within the workplace and welcome
-
of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In addition, you should be well-organised, and proactive, have an engaging
-
variety of customer queries. While full training will be given for all of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In
-
, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our
-
performance of the university and the provision of financial information to other business functions underpinning business planning and decision-making, but also enabling the effective and efficient operations
-
at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical