130 parallel-computing-numerical-methods positions at University of London in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
research programme on infections and brain health funded by the Wellcome Trust. The successful candidate will conduct innovative research into relationships between infections and aspects of brain health
-
exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
-
to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
-
for this role, candidates will be invited to attend a panel interview. In addition, there will be a scenario-based written assessment and a numerical assessment, lasting a total of 45 minutes
-
is Prof Cally Tann. We are seeking a Research Fellow in Early Child Development & Disability to coordinate the development, implementation and evaluation of the programme, including: mixed methods
-
Artificial Intelligence, which combines novel pedagogical methods with specialist expertise; also two MSc programmes applying AI to Drug Discovery and other sciences. Due to high demand, we seek to recruit
-
-related degree (or equivalent experience) with proven expertise in SEM and at least one other microscopy or analytical method. You are skilled in instrument operation, maintenance, troubleshooting, and
-
will require travel to Thailand for 2-4 weeks at a time to work alongside the research team based at Chiang Mai University. About You The post would be ideally suited to a mixed-methods researcher with
-
Teaching-Focussed Lecturer in Life Sciences on the Integrated Foundation Year (IFY) Programme at Royal Holloway, University of London. This is a 0.4 FTE position. The well-established and successful IFY
-
. Proficiency in Microsoft Excel is essential, along with a willingness to learn new systems. Strong organisational and numerical skills are key, as are excellent interpersonal abilities to build effective