Sort by
Refine Your Search
-
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 Associate in Machine Learning for Grid-Edge Flexibility to join the Power Systems Architecture Lab within the Department of Engineering Science
-
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
-
be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
-
learning (IRL) techniques. You should have a relevant PhD/DPhil (or be near completion), together with research experience in inverse reinforcement learning (or related machine learning techniques
-
PhD/DPhil in Computer Vision or Machine Learning (or be near completion) and hold a strong publication record in this field. You must have sufficient theoretical and practical knowledge of methodologies
-
or statistical machine learning. They will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings
-
We are seeking a full-time Postdoctoral Research Assistant in Machine Learning and Power Systems to join the Energy and Power Group at the Department of Engineering Science (Osney). The post is
-
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
-
requires experience in single-molecule imaging biophysics and expertise in at least two of the following: nanopore technology, optical microscopy, machine learning, mass spectrometry, complex optical set-up