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recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. Theoretical research into the capabilities of quantum computing and quantum
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to have strong mathematical and programming skills (e.g. Python, C++), knowledge of computer vision, data mining and/or robotics tools (e.g. ROS/ROS2, OpenCV, scikit-learn, tensorflow, pytorch) and be able
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) at Northeastern University London (NUL) is looking for an exceptional candidate to fill an open Postdoctoral Research Associate position in Network Science, Graph Machine Learning, and Cognitive & Social Sciences
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to join the Oxford-Novartis Collaboration in AI Medicine team at Nuffield
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is to acquire a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to develop novel therapeutics. We focus on cancer, auto-immune and fibrotic
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. Candidates with strong track records in tropical geometry, machine learning, and related areas are encouraged to apply. Applications are particularly welcome from women and minority ethnic candidates, who
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(https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5
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, perception, serious games, simulation, AI, Machine Learning, sensors, decision-making, and to communicate this expertise to the Transition Engineering Lab colleagues, and employ the cutting edge knowledge in
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to work independently and use creative methods and approaches 18. Knowledge of machine learning for image classification Skills Demonstrable ability to plan and manage independent research.
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, the Leonardo engineers involved in the project, and Dr Sam Tammas-Williams and Prof Jonathan Corney from University of Edinburgh. They will also work with PhD students and the other PDRAs of the Prosperity