Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- Durham University
- Heriot Watt University
- University of Cambridge
- Nature Careers
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of London
- University of Oxford;
- Birmingham City University
- Heriot-Watt University;
- Imperial College London
- King's College London;
- Liverpool School of Tropical Medicine;
- Northumbria University;
- Oxford Brookes University
- Oxford Brookes University;
- Technical University of Denmark
- University of Birmingham
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Lincoln
- University of Manchester
- University of Nottingham
- University of Nottingham;
- University of West London
- 20 more »
- « less
-
Field
-
for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
-
of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
-
of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
-
for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
-
staff and the adults with learning disabilities that they support. The post requires experience of conducting recruitment and data collection in large studies and previous experience of working with
-
further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
-
, working with some of the world’s largest single-cell data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other
-
Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large longitudinally collected sequencing datasets (both
-
of Engineering and Physical Sciences at HWU. The position is open in the context of a large research project aiming to develop a new generation of computational imaging algorithms intended to deliver
-
project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods