Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia;
- Cranfield University
- University of East Anglia
- University of Oxford
- Durham University;
- KINGS COLLEGE LONDON
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester
- UCL
- University of Cambridge
- University of Sheffield
- Bangor University;
- Imperial College London;
- Liverpool John Moores University
- Loughborough University;
- Newcastle University;
- Swansea University
- Trinity Laban Conservatoire of Music and Dance
- University of Birmingham;
- University of Cambridge;
- University of Essex;
- University of Exeter
- University of Glasgow
- University of Manchester
- University of Newcastle
- University of Nottingham
- University of Oxford;
- University of Sheffield;
- University of Warwick;
- 20 more »
- « less
-
Field
-
. J. & TOBIAS, J. A. 2021. The island rule explains consistent patterns of body size evolution in terrestrial vertebrates. Nature Ecology & Evolution, 5, 768-786. GILLESPIE, R. G. & RODERICK, G. K. 2002
-
: Comparative transcriptomics, orthology inference, positive selection detection, protein domain analysis, phylogenetic comparative methods Computational skills: UNIX/Linux, HPC computing, R, Python You will gain
-
Deadline: Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Prof. Jose Vazquez-Boland (The University of Edinburgh), Dr. Christopher R Coxon (The University of Edinburgh
-
in academia, biotech, and pharmaceutical R&D. Research Environment: The Orengo and Lasso labs provide a dynamic, inclusive, and multidisciplinary research environment at the intersection
-
/PYTHON/R/C programming • Application of Machine Learning Algorithms Additional Information Benefits This scholarship covers the full cost of tuition fees, an annual stipend at UKRI rate (currently
-
of: An R package for path-space rejection sampling for diffusion processes An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint Bayesian Fusion The position is
-
pharmaceutical R&D Application of AI in process development and materials discovery Antimicrobial testing and biological evaluation Workflow integration and data management for self-driven laboratories Project
-
mass spectrometry. Training on data analysis including relevant image analysis software, statistical analysis including graphpad prism and R and flow cytometry analysis using FlowJo will also be provided
-
hearing science, or a related discipline, and a keen interest in developmental research. Prior experience with experimental design, data analysis (preferably in R), eye-tracking, or developmental
-
cell and spectroscopic analysers. Programming (e.g., R, Python) and machine learning for advanced atmospheric time-series analyses. Skills for presenting research at conferences and writing peer-reviewed