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Field
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conducting research using large-scale routine or registry data, preferably in cancer. High-level proficiency / experience developing reusable analytical pipelines or modular code (in R, Stata, or Python) with
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will include acting in accordance with the NMC Code. This will include the carrying out of the highest standard of individualised patient care and ensuring that all documentation is accurate and
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to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of making distinct contributions to identifying and pursuing
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, open code, open educational resources and practices that support replication. Desirable: F1 Experience of estimating uncertainty (such as Aleatoric and Epistemic Uncertainty) in Deep Neural Networks. F2
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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emerging offshore wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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in Europe devoted to the study and prevention of mental illness and brain disease. The IoPPN pioneers research into new and improved ways of understanding and treating mental ill health (http
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create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT
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/engineering https://hecustom.eu/ Street Edgbaston Postal Code B15 2TT E-Mail a.r.beadling@bham.ac.uk m.g.bryant@bham.ac.uk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E