Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
quantum attacks Verifiable and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and
-
and artificial intelligence/machine learning may be applied are encouraged to apply. If you are interested in research in brain-machine interfaces, and are unsure about whether you have the right
-
applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying computational
-
Title: Modelling dynamics and reactivity with Machine Learning Interatomic Potentials Supervisor: Professor Fernanda Duarte Start date: 1 st October 2027 Applications are invited for a fully funded
-
Freedom of information Research Fellow in Machine Learning Assisted Choice Modelling This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also
-
extent of disruption required to stop unsafe behaviour, and the reliability of proposed protective measures. The emphasis can be adapted to the student's background, including machine learning
-
, Machine Learning, Computer Science, Data Science, Control Engineering, or a related subject, and you should be able to demonstrate project experience in a technically demanding area. Skills and
-
looking for an independent, enthusiastic and driven candidate with experience in at least one of the following areas: procedural or node-based production, AI or machine learning, or technical art
-
responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure
-
. Previous experience in magnetism, spin dynamics, nanofabrication, electrical measurements, 2D materials, programming and machine learning would be advantageous. Candidates should also be able to work