226 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Field
-
and advanced machine learning approaches to identify novel imaging markers of mental health disorders and cognitive function; 2) developing robust MRI-based acquisition, image reconstruction and
-
The Department of Statistics is seeking to appoint a StatML CDT Administrator. The EPSRC CDT in Statistics and Machine Learning (StatML) is a four-year PhD/DPhil research programme. It trains
-
Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, and the ability to distil technical concepts into academic and/or policy writing are also essential
-
service, has an appetite to learn, is keen to understand and support a wide range of technology and has outstanding written and verbal communication skills? We’re looking for an enthusiastic, customer
-
that present opportunities for IDDO and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their
-
computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics, econometrics, statistical
-
the Photonic Quantum Information group (PQI) led by Professor Ian Walmsley in the area of quantum machine learning. You will engage in advanced study and academic research, working to develop and carry out
-
wide range of libraries/frameworks and cloud infrastructure tools. Familiarity with Machine Learning, Neural Network and AI driven image analysis methods Experience with data management for large data
-
productivity and output • Learn and be fully independent on the existing laboratory workflows, such as transcriptomics analytical pipelines running on Python such as Topometry • Manage own academic
-
5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance