371 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
criteria set out by the UKRI at: https://www.ukri.org/what-we-do/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility-for-studentship-funding/ Research in
-
Research Council rate (set at (£21,805 p.a. for 2026/2027 academic year) for 3 years. Please note the eligibility criteria set out by the UKRI at: https://www.ukri.org/what-we-do/developing-people-and-skills
-
the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
-
together leading researchers from Oxford, Cambridge, UCL, and Glasgow to develop next-generation brain stimulation and modulation systems. We are looking for a Senior Research Associate in Bioeletronics and
-
biology/bioinformatics, statistics, machine learning or related field. You will have a strong track record of applying genetics-based, physicochemistry-based and structure-based computational or statistical
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
-
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
-
Policy online course, which is FCDO’s flagship learning offer. The course aims to provide learners with a clear understanding of important economics concepts relating to foreign policy, development, and
-
on “Active exploration of iridescence and gloss”. The ESR will join the EXPLORA consortium (https://explora-network.github.io/web/index.html ), which comprises 12 academic institutions across multiple European
-
the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human