Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- KINGS COLLEGE LONDON
- University of Oxford
- Heriot Watt University
- King's College London
- UNIVERSITY OF VIENNA
- Durham University
- Imperial College London
- Nature Careers
- Royal College of Art
- University of Cambridge
- University of Cambridge;
- University of London
- University of Manchester
- University of West London
- 5 more »
- « less
-
Field
-
further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
-
of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
-
About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
-
in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
-
expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
-
machine learning, language modelling, computer vision, or applied AI. Familiarity with large, complex datasets and prototyping tools. Experience in successful grant writing. Why Join Us? This is a unique
-
Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
-
) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
-
datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
-
together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is