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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally...
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Job id: 121485. Salary: £44,355 – £49,128 per annum including London Weighting Allowance. Posted: 31 July 2025. Closing date: 24 August 2025. Business unit: Faculty of Life Sciences & Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. ...
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally...
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imaging data and finite element modelling is a plus. You will have experience in writing publications and be happy working in a collaborative environment. About the School The role will be based
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data and finite element modelling is a plus. You will have experience in writing publications, and be happy working in a collaborative environment. About the School The role will be based at the School
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the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will
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the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind farms using the wind farm simulator using a wide range of hardware (including CPUs and
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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime
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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime
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welfare initiatives and inform relevant strategies and policies. Our ideal candidate will have a postgraduate degree with a strong research component and practical experience of conducting observational