152 parallel-computing-numerical-methods-"Multiple" positions at University of London
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, the four Department Managers, the Faculty Taught Programme Directors, members of staff in Central Services and the wider LSHTM community. This is a wide-ranging role encompassing Human Resources, Finance
-
for the RVC. The successful post holder will have the ability to communicate confidently with a wide range of customers and have a high level of customer focus. You will be able to work methodically, follow set
-
be responsible for the day-to day management of three research grants, including an NIHR funded multi-million-pound programme working in Nepal & Tanzania plus oversight of a large portfolio of
-
About the Role Applications are sought for a Research Technician, to provide technical support to the research programme in the Stojic Laboratory working on the role of long noncoding RNAs (lncRNA
-
, to be part of this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health
-
subject area for the research and innovation project and relevant knowledge and experience in geomatics, remote sensing methods (including UAV lidar, satellite and photogrammetry) and spatial analysis including
-
external stakeholders Provision of support for the Dean in managing multiple and often urgent tasks in a timely manner, flagging priorities and following up as necessary Proof reading correspondence to be
-
approach to problem-solving. Proven ability to manage multiple tasks and priorities effectively. Why London Business School London Business School; a global and vibrant business community based in two
-
About the Role We are recruiting an Admissions Enquiries Assistant to join our central Admissions team, which handles taught and research programme applications to all the university’s Schools and
-
-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data