207 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- Newcastle University
- The University of Manchester
- University of Warwick
- Loughborough University;
- University of Exeter
- Manchester Metropolitan University
- Manchester Metropolitan University;
- University of Birmingham
- University of Surrey
- ;
- Northeastern University London
- UNIVERSITY OF VIENNA
- University of Sheffield
- Swansea University
- Swansea University;
- University of East Anglia
- University of East Anglia;
- University of Leeds
- University of Surrey;
- Imperial College London
- Newcastle University;
- Oxford Brookes University;
- The Open University
- The University of Manchester;
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Bristol
- University of Cambridge
- University of Exeter;
- University of Liverpool
- University of Liverpool;
- University of Nottingham;
- University of Oxford
- University of Westminster
- Cardiff University
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- Imperial College London;
- King's College London
- King's College London;
- Lancaster University
- London School of Economics and Political Science;
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh
- UCL
- UCL;
- UWE, Bristol
- University of Bath;
- University of Birmingham;
- University of Cambridge;
- University of Essex
- University of Newcastle
- University of Oxford;
- University of Reading;
- University of Warwick;
- University of Westminster;
- University of York;
- jobs.ac.uk
- 54 more »
- « less
-
Field
-
with FASD commonly experience challenges with learning, memory, attention, impulse control, emotional regulation, adaptive functioning and social interaction. Without appropriate support, these
-
: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
-
, chemistry, and be willing to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D printing, materials sciences
-
quantitative subject Be excited about the opportunity to work with a non-academic partner (Adfree Cities) to bring about real-world impact of their research Be comfortable using and learning about quantitative
-
new knowledge on how universal, system-led approaches to physical activity can be designed and implemented to address inequalities, leaving a legacy for Bradford District with learning of national
-
activities that will enhance performance in the role and future career prospects, including those within the Cardiff Researcher Programme. To keep a ‘learning log’ to facilitate critical reflection
-
potentially druggable targets. Depending on interest, the student will have an opportunity to contribute to other projects within the team and learn a range of important techniques such as cellular, animal
-
: engineering, materials science, chemistry, and be willing to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D
-
of speeds from walking to maximal sprinting. Derive and compare algorithms to auto-detect key frames of foot contact and toe-off, required to quantify contact, flight and swing times. Compare lower
-
flexible, supportive and inclusive team environment at a research-intensive university, where your work is seen and has meaning. Personally tailored training opportunities and the chance to learn and utilise