Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- ;
- University of Cambridge
- University of London
- UNIVERSITY OF VIENNA
- Durham University
- KINGS COLLEGE LONDON
- Aston University
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- Oxford Brookes University
- University of Liverpool
- ; Royal Holloway, University of London
- ; University of Copenhagen
- AALTO UNIVERSITY
- City University London
- Nottingham Trent University
- University of Manchester
- University of Newcastle
- 10 more »
- « less
-
Field
-
skills, especially in applied econometrics and statistical methods within health economics are essential as is the ability to work effectively independently and collaboratively. Diversity Committed
-
. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
-
, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
-
available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
-
design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
-
research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
-
research, data presentation and statistical evaluation, as well as the ability to organise a varied workload between research, supervision and administration. The ability to communicate well, understand
-
research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
-
research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
-
of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides