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(DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related
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experimental protocols. You will 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, PhD/DPhil in
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) • Demonstrated knowledge of MRI physics, particularly that relevant to MRI or MRS sequence design • Expertise in software programming using, for example, C++, MATLAB, or Python • Strong
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towards the design of large scale multiplexing of control and readout drives based on cQED space-time modulation Metasurfaces. The candidate will collect and analyse experimental data, write up
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neural network based methods for designing genome editing strategies to treat rare diseases. The postholder will join a large multidisciplinary team covering molecular methodologies, genomics, single cell
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We are recruiting a Postdoctoral Research Associate to co-ordinate and undertake a programme of research as part of a new project entitled ‘A Biodiversity Baseline for the Begbroke Innovation
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techniques and experimental protocols. You will 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
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-electrolysis systems, synthesis of layered materials or/and 3D-design would be advantageous. You will be expected to manage your own academic research and administrative activities. This involves small-scale
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Institute on the Old Road Campus. The post is for a fixed term (funded to 31 March 2025) and is full-time. You will design and implement neural network methods for natural language processing and text
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of aggregated protein species, including RT-QuIC and mass-spectroscopy; and also, be involved in purification of recombinant aggregation-prone proteins, using liquid chromatography (AKTA). You will design