Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Nature Careers
- University of Birmingham
- University of London
- University of Nottingham
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Oxford
- KINGS COLLEGE LONDON
- King's College London
- London School of Hygiene & Tropical Medicine;
- St George's University of London
- University of Sheffield
- ; Technical University of Denmark
- ; University of Exeter
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Imperial College London
- Plymouth University
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Surrey
- 15 more »
- « less
-
Field
-
About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to
-
. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
-
Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
-
research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
-
and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
-
ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
-
to the challenging problem of rearrangement scattering in molecular matter-antimatter collisions. We will develop and apply the R-matrix method to systems such as molecular hydrogen ion interacting with an antiproton
-
. psychometric properties; use of R; Growth Curve Analysis; General Linear models). Thanks to your excellent communication and organisation skills, you will liaise with the different teams working on this project
-
analysis skills (STATA or R) with high attention to detail Excellent written and communication skills for publications and policy engagement Ability to work independently and collaboratively across
-
model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python