Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- King's College London
- Durham University
- Heriot Watt University
- University of Oxford;
- AALTO UNIVERSITY
- Nature Careers
- UNIVERSITY OF VIENNA
- University of Cambridge
- King's College London;
- Birmingham City University
- DURHAM UNIVERSITY
- Heriot-Watt University;
- Imperial College London
- Liverpool School of Tropical Medicine;
- Northumbria University;
- Oxford Brookes University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Birmingham
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Lincoln
- University of London
- University of Manchester
- University of Nottingham
- University of Nottingham;
- University of West London
- 23 more »
- « less
-
Field
-
surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant
-
research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
-
to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
-
, 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
-
(myofiber) handling Experience in handling, processing, analysing and interpreting large data sets Experience in mentoring, leading and organising junior laboratory members and laboratory arrangements (e.g
-
statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
-
for the study of the history of the world. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative
-
individual who will be responsible for recruitment and data collection in the final work package of the ICALD programme: a randomised trial with stepped wedge design evaluating the delivery and implementation
-
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
-
will increase to Grade 6. Desirable criteria Experience with skeletal muscle tissue and single muscle cell (myofiber) handling Experience in handling, processing, analysing and interpreting large data