Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- Cranfield University
- University of Oxford
- ;
- University of Manchester
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Nottingham
- Durham University
- King's College London
- University of Bristol
- University of Cambridge;
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- City University London
- Nottingham Trent University
- The University of Manchester
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Bristol;
- Heriot Watt University
- Loughborough University
- The University of Manchester;
- University of Cambridge
- University of London
- University of Newcastle
- University of Oxford;
- University of Surrey
- University of Warwick;
- Aston University
- Imperial College London;
- Medical Research Council
- Nature Careers
- Newcastle University;
- QUEENS UNIVERSITY BELFAST
- Regent College London, part of the Regent Group;
- Swansea University
- The University of Edinburgh;
- The University of Southampton
- UCL;
- University of Hertfordshire;
- University of Liverpool
- University of Warwick
- University of West London
- Wenzhou Business College
- ; University of Cambridge
- ; University of Exeter
- Arm
- Aston University;
- EMBL-EBI - European Bioinformatics Institute
- Edinburgh Napier University;
- Harper Adams University
- Heriot-Watt University;
- Manchester Metropolitan University
- Newcastle University
- Oxford Brookes University
- Queen's University Belfast
- Research England;
- STFC - The Science and Technology Facilities Council;
- The Francis Crick Institute;
- University of Bath
- University of Birmingham;
- University of East Anglia
- University of Essex;
- University of Glasgow;
- University of Leeds
- University of Liverpool;
- University of Sheffield;
- University of Southampton;
- University of Strathclyde;
- University of Surrey;
- University of Worcester
- 66 more »
- « less
-
Field
-
candidate will develop machine learning and algorithmic design skills. The candidate will gain valuable multidisciplinary skills in the area of machine learning and data analytics methods and their
-
services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and complexity in cyber systems pose
-
computing. In the UK's 2014 independent research exercise, we were rated top in Scotland for research impact. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2
-
optimisation model, and apply exact optimisation techniques, and metaheuristics for the optimisation of large-scale problems such as Genetic Algorithm, and/or fuzzy optimisation techniques for treating problems
-
, path finding and routing algorithms, sense of direction, human computer interaction, cognitive navigation, intelligent mobility, and artificial intelligence. Sensor fusion and Signals of Opportunity We
-
when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt
-
. £15,609, research training support grant, travel up to £1,250 for the whole programme, and health insurance while at Melbourne. Specified use Tuition fees, stipend, research training support grant, and
-
functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques used are Biomolecular NMR spectroscopy and
-
practices produced with the help of computer algorithms challenge, subvert and threaten the modernist concept of the author. AI generated creative practices have the capacity to seriously disrupt established
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling