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Applications are invited for a Postdoctoral Research Assistant position with the WISDOM project (mm/sub-mm interferometric studies of molecular gas and supermassive black holes in galaxies near and far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder...
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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About the role We are seeking a Postdoctoral Research Assistant to join the Control Engineering group at the Department of Engineering Science (central Oxford). The position is funded by EPSRC and
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transform the material system to a platform for quantum technology: a coherent 2D spin-photon interface for networks and sensing. To achieve this goal, this project will advance the pulsed spin control
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nonlinear aspects. Previous experience in developing advanced constitutive models, particularly for rubber-like materials, is desirable. Informal inquiries may be addressed to Laurence Brassart (email
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manage incoming and outgoing post and deliveries, control the swipe card access system and report any faults and security issues. You will also assist staff within the building with various queries
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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manipulation tasks in a range of dynamic domains (industrial, service, domestic). This position will focus on using and developing learning-based perceptive approaches. You will develop a control framework