Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Manchester
- UNIVERSITY OF VIENNA
- Imperial College London
- Nottingham Trent University
- University of Cambridge
- Nature Careers
- Aston University
- Cardiff University
- Cranfield University
- DURHAM UNIVERSITY
- Durham University
- Lancaster University
- Loughborough University
- Ulster University
- University of Birmingham
- University of Bristol
- University of Leicester
- University of London
- University of West London
- Wenzhou Business College
- ; University of Cambridge
- Arden University
- Birmingham City University
- Heriot Watt University
- King's College London
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Bath
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 27 more »
- « less
-
Field
-
will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
-
data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs
-
range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level
-
the Paradoxical Aspects of Measurement in Quantum Systems". This project leverages foundations to pave the way for the novel quantum protocols, algorithms, and technologies of the future. You will work closely with
-
programming, algorithm development, and mathematical modelling. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication skills (oral and written), including
-
, architecture-based attacks (e.g., Spectre) show the urgency of addressing these important problems today. Even when low-level programs are well synchronised, the design of the underlying concurrent algorithms
-
leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
-
for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
-
, applying and validating your algorithms through laboratory experiments. A PhD in Chemistry, Biology, Computer Science, or related fields with a focus on protein engineering. Proficiency in Python programming
-
Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data