Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Swansea University
- Newcastle University
- University of Exeter
- University of Nottingham
- The University of Manchester
- University of Exeter;
- Imperial College London;
- Loughborough University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- University of Birmingham
- University of Cambridge
- University of Cambridge;
- University of Oxford;
- University of Surrey
- University of Warwick
- ;
- Cranfield University;
- European Magnetism Association EMA
- Oxford Brookes University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester;
- UCL
- UCL;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Bristol
- University of Bristol;
- University of East Anglia
- University of Kent;
- University of Leeds
- University of Newcastle
- University of Surrey;
- University of Warwick;
- 27 more »
- « less
-
Field
-
the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballots using the STV method. Our first point of
-
strong foundation in programming (e.g. Python) and core concepts in machine learning or data analysis. Ability to engage with research literature and develop analytical, problem-solving, and algorithmic
-
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
-
predict the hair line. Design a classification algorithm to quantify the hair loss severity. Develop a mobile phone app as point of care for people with alopecia. Evaluate novel AI assessments using
-
of the following objectives: Design and development of long dwell-time, distributed signal processing algorithms for improved target detection Design and development of signal processing techniques for enhanced
-
summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
-
including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic
-
push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture
-
push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture
-
interpreted by regression and tree-based machine learning algorithms to obtain even better mutants and develop mechanistic hypotheses. Various collaborations with ON-TRACT network partners across Europe allow a