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in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
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to junior members of the research group, including PhD students and project volunteers. The position is offered on a fixed-term basis until 30 September 2028, with a maximum duration of 24 months (twenty-four
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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learning approaches. You will develop novel, reproducible methods for analysing both structured and unstructured clinical data, generating insights into disease trajectories, predicting clinical outcomes
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work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a related subject
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to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, a PhD in Biology or a related subject. You should have a high level of
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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, available for up to 30 months, tenable immediately, to conclude before May 31st 2028. Intelligent agents have a venerable history in AI: since the 1980s the problem of how to build hardware and/or software
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and funded by the Wellcome Trust for 12 months. The successful candidate will hold a PhD/DPhil in a relevant field together with post-qualification research experience and a strong publication record