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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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and outside of the University. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
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of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available as soon as possible. Application Process
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and skills required are described in further detail in the job description. Application process For your online application, you will be required to upload your curriculum vitae and a supporting
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radiation technology. Prior experience on spin-resolved ARPES or previous experience in setting up and maintain the operation of ARPES spectrometers will be an advantage. Candidates are expected
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immediately. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement
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instrumentation package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior
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carboxylic acids. This will exploit the ability of the nickel-iron hydrogenase enzyme to activate hydrogen gas under mild conditions to unlock mild and selective hydrogenation and dehydrogenation processes
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be