21 assistant-professor-computer-science Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
-
in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. A background and/or interest in mathematics or computer science would be
-
We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and
-
the programme of research for publication in top quality peer-reviewed academic journals. In addition, you will provide guidance to junior members of the research group including research assistants, PhD students
-
a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
-
We are seeking a full time Postdoctoral Research Assistant in Safe Machine Learning for Power Systems to join the Foerester Lab for AI Research (FLAIR) at the Department of Engineering Science
-
role in governing gene expression, and their disruption is increasingly recognized as a key driver of diseases. This is an exciting opportunity for a postdoctoral scientist to help lead a project
-
We are seeking a full-time Postdoctoral Research Assistant to join the Visual Geometry Group (VGG) at the Department of Engineering Science (central Oxford). The post is funded by the EPSRC SIgnGPT
-
We invite applications for a Postdoctoral Research Assistant to undertake research in battery modeling within the Nextrode Project of the Faraday Institution, to work with Professor Jon Chapman
-
autonomy and therefore is expected to show evidence of ability to conduct an independent research programme. Their research may be theoretical, numerical, or data-driven, or, ideally, a combination of the