16 linked-data-"https:"-"https:" Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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
-
-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
-
(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
-
recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is intended to provide valuable training in research governance and
-
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
-
, environmental history and contemporary heritage policy. In this role, you will collect and analyse archaeological and environmental data from the Middle East, developing critical insights into premodern landscape
-
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