11 web-programmer-developer-"INSERM" Fellowship positions at UNIVERSITY OF SURREY in United Kingdom
Sort by
Refine Your Search
-
real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
-
for biodiversity and environmental modelling. The successful candidate will study the sustainability of systems and combine it with AI for intelligent decision-support tools. You will develop the above methodologies
-
the development of LC-MS assays Previous history of analysing energetic and pharmaceutical materials Demonstrated ability to safely conduct independent research activities Good communication skill in English
-
Research Fellow: PLANET study: Planning for End of Treatment – sharing information to prepare children, young people and families to move into survivorship care when active treatment finishes
-
. The main role of the post holder will be to carry out research in polyester-based plastic (PET, PLA, etc) depolymerisation into monomer chemicals using mechanochemistry, developing research expertise and
-
role Applications are invited for a full-time postdoctoral research fellow position, with a 12 (possible extension of up to 24 months). The post is part of a Horizon Europe project that aims to develop
-
health inequalities. They will be an integral member of the Cancer Care Group and will be encouraged in the development of their own research plans. Candidates should have a proven track record of research
-
data would be desirable. Dr Nalesso's laboratory is located in state of the art facilities at the Manor Park Campus of the University of Surrey in Guildford. Guildford is easily reachable by train from
-
Jeevartnam’s supervision. The successful applicant will join an interdisciplinary team at Surrey and will be primarily engaged in a project aiming to develop computational algorithms for the prediction
-
. You will develop the above methodologies for plausible bioplastics manufacturing and compare them against conventional systems and conduct their uncertainty analysis. You will create AI models