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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T
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terms of data robustness and security (https://www.data.cam.ac.uk/ ). Data cleaning and management tasks will require proficiency in coding in Stata, or willingness and ability to learn to code in Stata
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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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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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, 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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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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work on the project “Assessing the role of rare germline non-coding genetic variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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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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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