Sort by
Refine Your Search
-
Listed
-
Employer
- University of Cambridge;
- University of Newcastle
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- University of Glasgow
- University of Oxford
- University of Liverpool
- University of Sheffield
- Heriot Watt University
- Heriot-Watt University;
- Imperial College London
- Imperial College London;
- King's College London
- Newcastle University;
- Queen Mary University of London
- University of Birmingham
- University of Glasgow;
- University of Oxford;
- University of Reading;
- University of Sheffield;
- University of Strathclyde;
- 11 more »
- « less
-
Field
-
involving complex methodologies and statistical analysis. Your responsibilities will include data management, cleaning, and analysis using advanced statistical techniques, as well as drafting reports and
-
-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
-
) in quantitative biology, statistics, or a related discipline, and have experience using statistical modelling and data analysis to address predictive or inferential questions in ecological
-
(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
-
The interplay of TCS with Harmonic analysis and additive combinatorics There will be opportunities for collaboration with faculty members and PhD students and to engage with the broader quantum computing and
-
interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
-
interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
-
generation and analysis, and contributing to the development of novel methodologies. In addition, they will support the wider activities of the research group by mentoring junior colleagues, liaising with
-
strategy. 3. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 4. Contribute
-
experience (PWLE) to co-develop an accessible "second skin" for the interface, ensuring usability and inclusivity. Assist in data analysis, including harmonisation of large-scale datasets and exploration