356 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12.00 midday on 8 January 2026 Interviews will take place during
-
found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. The closing date is Tuesday 13th January 2026 at noon. Only
-
to provide long-term resources, underpinned by excellent operational and professional services. For more information, please visit: https://finance.admin.ox.ac.uk/ What We Offer Working at the University
-
: https://finance.admin.ox.ac.uk/ What We Offer Working at the University of Oxford offers several exclusive benefits, such as: • 38 days of annual leave (inclusive of public holidays) to support your
-
biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
-
/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
-
We are looking for a Research Assistant Reporting to Prof Yee-Whye Teh. The post holder will be a member of Oxford Computational Statistics and Machine Learning (OxCSML) with responsibility
-
language processing, statistical machine learning and causal inference. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional
-
-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data
-
fundamental research, we create widely used open-source software including autodE, cgbind/C3, and mlp-train. Our recent advances in Machine Learning Interatomic Potentials (MLIPs) form the foundation of our ERC