Sort by
Refine Your Search
-
Program
-
Employer
- ;
- ; Manchester Metropolitan University
- University of Nottingham
- ; University of Southampton
- ; Loughborough University
- ; Swansea University
- ; University of Exeter
- ; University of Nottingham
- ; University of Surrey
- ; University of Warwick
- Cranfield University
- Harper Adams University
- University of London
- 3 more »
- « less
-
Field
-
are maturing, one critical factor remains: human behaviour. From Edward Snowden’s historic NSA leak to the shocking statistic that 95% of cyber attacks succeed due to human error, it’s clear that human behaviour
-
organisational skills. Desirable Criteria: M.Sc. or Research Masters in a relevant discipline such as mathematics, computer science, data science or statistics. Experience with handling EEG and/or EMG data. How
-
of handling laboratory animals is required as this will be optional. Good IT skills with Word, PowerPoint and Excel are essential and some knowledge of statistics is desirable. How to apply Interested
-
background (e.g., mathematics, computer science, electronical engineering, physics, statistics, economics). Closing date : 31st July 2024. Funding: Full-time studentships will cover UK course fees and an
-
interventions for people of African and Caribbean origin. Rebecca Hardy is Professor of Epidemiology and Medical Statistics, and she has been at the forefront of developments in life course epidemiology for over
-
generic career-development opportunities (e.g., patient and public involvement and engagement (PPI-E), dissemination, statistics). Further information: Applicants should have either: a minimum of a 2.1 in a
-
in a related discipline would be expected. Medical and veterinary graduates are encouraged to apply. A Master’s degree in related subject is desirable and previous experience in statistical
-
shape the vision of tomorrow. Coding Maestro: Your Python prowess and fluency in AI libraries will be the tools with which you sculpt the future. Mathematical Maverick: A statistical savant, you find
-
to reconstruct statistically meaningful flow fields. Despite their popularity, both approaches still present major challenges such as large amounts of high-resolution data (from direct numerical simulations
-
using (statistical) machine learning techniques, and like all such systems their operations are opaque. In other words, it is not clear - even to the designers of these systems - how exactly they process