Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Cambridge
- Nottingham Trent University
- Loughborough University
- Nature Careers
- University of Manchester
- Wenzhou Business College
- Aston University
- Cardiff University
- Cranfield University
- Heriot Watt University
- Imperial College London
- King's College London
- Lancaster University
- Ulster University
- University of Bath
- University of Birmingham
- University of Bristol
- University of Leicester
- University of London
- University of Newcastle
- University of West London
- Arden University
- Birmingham City University
- DURHAM UNIVERSITY
- Durham University
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Northampton
- University of Reading
- University of Winchester
- 26 more »
- « less
-
Field
-
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
-
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
-
groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. The Department has also made recent appointments in Quantum Computing and
-
quality, and real-time AI performance. This research hub, tackles the intricate challenges of cyber-disturbances and data quality in Edge Computing (EC) environments supporting AI algorithms. The role
-
with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected
-
and simulation of GaN-FET-based power architectures, implement power-signal data modulation (PSDM) techniques to reduce wiring complexity, and optimise signal demodulation algorithms for accurate, real
-
(PSDM) techniques to reduce wiring complexity, and optimise signal demodulation algorithms for accurate, real-time battery monitoring. The position will be based in the Department of Engineering, King’s
-
for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
-
about Deep Learning algorithms, models, and their optimization techniques 3. Knowledge of TensorFlow, PyTorch, etc. 4. Effective communication (oral and written) skills, ability to write
-
(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or