Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- University of Nottingham
- University of Birmingham
- King's College London
- The University of Southampton
- University of Cambridge
- University of Oxford
- CRANFIELD UNIVERSITY
- Nature Careers
- University of London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF MELBOURNE
- University of Leeds
- Cranfield University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- University of Surrey
- ; King's College London
- Brunel University
- CZECH UNIVERSITY OF LIFE SCIENCES
- City University London
- Durham University
- Imperial College London
- Manchester Metropolitan University
- Sheffield Hallam University
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Greenwich
- University of Hull
- University of Liverpool
- University of Manchester
- University of Stirling
- 25 more »
- « less
-
Field
-
in Biodiversity Economics, which is in the Land, Environment, Economics and Policy (LEEP) Institute at the University of Exeter Business School. About you Using spatial and temporal data to analyse
-
very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
-
factors underlying this condition. The project will involve analyzing genetic data from a large cohort of sudden death victims and conducting prospective family screening to identify family members at risk
-
and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co-produce new knowledge, contribute to public understanding
-
Charter Gold Award. About the role The appointee will participate in a large, multi-institutional and multidisciplinary project part of the The Severe Presentation of Infectious Disease (SPID) Genomic
-
properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
-
for understanding key determinants of community connectedness To engage in data science debates, notable around the scope for large natural language models to be used to predict community level outcomes and the role
-
. The focus will be on linking early, cell-type-specific molecular alterations to large-scaleneural circuit impairments in mouse models, and on testing gene-therapeutic approaches to restore normal function
-
interactions across a range of physical platforms to build large-scale, hybrid quantum networks. Our work spans rare-earth-ion-doped solids, alkali vapours, quantum dots, and nonlinear photonic media, aiming
-
for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings