Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ;
- ; Manchester Metropolitan University
- University of Cambridge
- University of London
- University of Newcastle
- King's College London
- University of Bristol
- ; University of Birmingham
- Bangor University
- Brunel University
- Cardiff University
- Edge Hill University
- Royal College of Physicians
- The University of Southampton
- University of Leeds
- University of Leicester
- 6 more »
- « less
-
Field
-
experience with photometric data analysis and a high level of statistics. Candidates with experience modelling orbital dynamics, and/or experience with studying exoplanet atmospheres will be favoured High
-
and Computational Statistics, Financial Mathematics, Geometry and Mathematical Physics, Mathematical Biology and Healthcare, Mathematics Education, Optimization and Numerical Analysis, Topology and
-
of proficiency with computer software related to laboratory research, data presentation and statistical evaluation, as well as the ability to organise a varied workload between research, supervision
-
monitoring income and expenditure using the University’s procurement system, managing the collection of data for internal statistics and Key Performance Indicators (KPI’s). You will be expected to work using
-
. Desirable but not essential: You’ve got a keen interest in statistics and data analysis. You’ve got a solid understanding of University processes and the related data. You’ve got proven experience of using
-
PBMC separation, performing flow cytometry & analysing multi-colour target data, creation & management of clinical databases using REDCap, multifactorial statistical analysis using SPSS or R studio, and
-
in statistics and data analysis. You’ve got a solid understanding of University processes and the related data. You’ve got proven experience of using Excel or Access to produce reports. Contract type
-
to the role (such as BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner A proficiency in using statistical and/or analytical software packages such as
-
discipline Other accreditations commensurate to the role (BASES accreditation) Industry experience within the sport and exercise sciences working in an applied manner Proficiency in using statistical and/or
-
inference (e.g. state space modelling), advanced statistics • Experience in conducting high quality academic research • Demonstrable ability to present research papers at national/international