341 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology Machine Learning, AI Safety, AI Alignment, Eval of LLMs, Multi-agent Safety
-
We are looking to appoint a Senior Postdoctoral Researcher to develop novel probabilistic statistical machine learning methods to build causal predictive models available in the one-of-a-kind
-
We are seeking to appoint a Postdoctoral Researcher to develop novel probabilistic statistical machine learning methods to build causal predictive models available in the one-of-a-kind Novartis
-
to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
-
* 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
-
We are seeking to appoint a Monitoring, Evaluation and Learning Lead within the Pandemic Sciences Institute. You will be responsible for providing expert leadership on monitoring, evaluation and
-
183469 – Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
-
experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is
-
the next generation of PV technologies for beyond 2030. The new postdoctoral research position will use materials modelling techniques (DFT, molecular dynamics, machine learning potentials) to investigate
-
3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In