43 natural-language-processing-intern Fellowship positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
-
The Department of Politics and International Relations (PAIR) at the University of Southampton, UK, is seeking a highly motivated Postdoctoral Researcher (100% FTE) to join the Horizon Europe
-
resistivity data but will also consider applicants with experience more focused in relevant geophysical data analysis. The Research Fellow will join an international team in the project “Quantifying evolution
-
will join an international team in the project “Quantifying evolution of magmatism and serpentinization during the onset of seafloor spreading”, funded by the UK Natural Environment Research Council and
-
, working closely with national and international partners. We are strongly committed to developing the next generation of climate-modelling tools. The post is a fixed-term appointment for 36 months (3 years
-
at the School of Ocean and Earth Science and the National Oceanography Centre, working closely with national and international partners. We are strongly committed to developing the next generation of climate
-
, Kent. Due to the nature of the research and the lab environment, this is lab-based position requiring on-site work and as such, there is no option for hybrid or remote working. In
-
narratives were collected in Spring 2023 and also August 2024 in order to investigate the role of intergenerational support in mitigating the rising costs of living and whether growing costs have adversely
-
teams. Successful applicants will have demonstrated their ability to work independently and efficiently in a research context and will have excellent written English skills with meticulous attention
-
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