213 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"MPG" positions at University of London
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Change Directorate more widely is responsible for providing planning support and management information to inform decision making as part of the strategic planning process and the delivery
-
and resilience in children’s daily lives. The role will involve supporting a range of research activities, including participant recruitment, applying for ethical approval, data collection, and
-
, 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 Equality and Diversity
-
the life-cycle of the clinical trial, with particular focus on data and sample management. About You You should possess a relevant qualification/experience and have excellent IT and communication skills, as
-
. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading
-
knowledge and support to internal stakeholders. Leadership to the Property and Conference and Event teams. For a full role profile, please refer to the job description below. Further information To be
-
of relevant legislation (eg General Data Protection Regulations, Equality Act). Further particulars are included in the job description. The post is part-time 21 hours per week, 0.6 FTE and permanent
-
, 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, including information
-
and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable
-
About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr