18 deep-learning positions at University of Oxford

Postdoctoral Deep Learning Scientist for Cardiovascular Imaging

team of machine learning scientists, MR scientists (Prof. SK Piechnik) and cardiologists (Prof. VM Ferreira). Recent deep learning breakthroughs have provided a new perspective to rethink contrast

Postdoctoral Researcher in Artificial Intelligence for Ecoacoustics

We are seeking to appoint a Research Associate in AI with a specialism in Deep Learning. The Research Associate will engage in internationally leading research in the development of AI and machine

Postdoctoral Researcher – Imaging Neuroscience Technology

collaboratively as part of a team.  Experience in deep learning and the analysis of multi-dimensional data (e.g., space/time) would be desirable. You will be required to upload a covering letter/supporting

Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist

We invite applications for the position of Postdoctoral Research Associate in Machine Learning/Machine Learning Scientist to join the Deep Medicine programme at the Nuffield Department of Women’s

Postdoctoral Research Assistant in Human-AI Collaboration

the discipline of work including as a first author is essential, as well as experience of original deep learning in imaging architecture design and evaluation. Informal enquiries may be addressed to Professor

Postdoctoral Research Assistant in Quantum Device Control

. This is an extremely difficult task. The need to calibrate individual qubits, either to maximise fidelity initially or when parameters drift, constitutes a complicated and repetitive process, requiring deep

Postdoctoral Researcher

for modelling biological memory systems, both semantic and episodic Extensive experience of deep learning, including variational autoencoders and transformers PhD in the computational neuroscience of memory

Postdoctoral Research Associate in the Mathematical Foundations of Data Science

; reduced precision and parallel-in-time computations; high-dimensional matrices and tensors and their decompositions; hypergraphs models; learning of non-Euclidean data; and sparse deep neural networks

Postdoctoral Research Assistant in Computer Vision x2

and should hold sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning. Informal enquiries may be addressed to Prof. Andrew Zisserman (email

HDRUK Early Career Research Fellow

epidemiology or other relevant subject. You will have demonstrated experience in machine learning or deep learning and strong quantitative analysis skills, using statistical programming packages such as R and