13 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
-
(HDH) School, located at Southampton University Hospital site. Working alongside genomic informaticians, clinicians, and data scientists, you will help drive translational research that has direct impact
-
cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
-
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 understand how climate will
-
in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
-
, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research Fellow to
-
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
-
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
-
will be considered as part of the recruitment process. For further information including key benefits designed to help maintain and support employees’ well-being and work-life balance, please see our
-
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