19 data "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Fellowship positions at The University of Southampton
Sort by
Refine Your Search
-
University; writing research protocols and submitting these for relevant ethical approvals including NHS studies; and assisting in data collection. In addition, they will coordinate dementia research studies
-
the project forward and translate our research into tangible innovations for the UK’s growing photonics sector, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025
-
of intergenerational relations and population change. The Centre is led by Professor Jane Falkingham. For further details, see https://www.cpc.ac.uk/research_programme/connecting_generations/ This project will examine
-
on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
-
, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
-
scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising
-
through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is
-
methods. It may also include quantitative data analysis. The post-holder will take a role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and
-
data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
-
measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support