11 data-"https:"-"https:"-"https:"-"https:"-"P" Fellowship positions at The University of Southampton
-
of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
-
– Testing Models of Active Extension (TMAX) – will involve collection and analysis of new earthquake data in the Corinth Rift, Greece. The researcher will take a lead role in fieldwork during the project
-
candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling
-
physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
-
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
-
. Building on strong preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead
-
, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Senior Research Fellow to work on the
-
, please contact Dr Jonathan Shepherd (jps@soton.ac.uk ) or Professor Joanne Lord (j.lord@soton.ac.uk ). See our website for further information about SHTAC. Working at the University of Southampton: Check
-
to determine and analyse protein structures that underpin enzyme function and redesign. Generate and interpret structural data to inform and validate computational predictions. Publish in high-impact
-
) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline