Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- University of Sheffield
- University of Nottingham
- ; University of Southampton
- ; University of Leeds
- University of Exeter
- ; Northeastern University London
- ; Swansea University
- ; University of Hull
- ; Western University
- King's College London
- Swansea University
- University of Hertfordshire
- University of Leeds
- University of Leicester
- 5 more »
- « less
-
Field
-
match officials. The project will lead to the integration of the physical employment test(s) within PGMOL as a practical tool to ensure robust minimum standards for the selection of elite soccer match
-
Lead Supervisor’s full name & email address: Professor Richard Barker – [email protected] Co-supervisor name(s) & email address(s) Dr Joshua Owen – [email protected] Project summary Carbon
-
, Nottingham. The successful candidate will assist the Course Directors and PGT Lead in the smooth running of the two MSc courses and co-convene taught postgraduate modules (such as the Physical activity in
-
lifestyle choices. The research planned within this PhD project aims to address this question of how biological age can be measured and used as a biomarker to improve the ageing process. We will develop
-
the Course Directors and PGT Lead in the smooth running of the two MSc courses and co-convene taught postgraduate modules (such as the Physical activity in health and disease module, the MSK Health
-
to Equality, Diversity and Inclusion . We are delighted to share that we are the first university to have achieved Athena Swan Gold Award . We want you to succeed in our recruitment process and have published
-
“interrupted” tests whereby the process is paused or slowed to allow information to be collected at a series of discrete time or load steps. This results in an estimated interpolation of events between capture
-
functionalisation catalysis and process optimisation guided by product distribution assessment as directed by Professors Simon Woodward and Pete Licence Prepare high quality supporting data for publications resulting
-
information about the arrangement of atoms within the nanocrystal. Iterative phase reconstruction computational methods are then routinely used to recover the complex three-dimensional electron density and
-
Project title: Using machine learning to evaluate atomic force microscopy nanoindentation data Supervisory Team: Dr Martin Stolz, Dr Sasan Mahmoodi Project description: The University of Southampton