239 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" positions at University of Birmingham
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are able to recruit up to 30% of international applicants to the cohort each year. You can find further details at https://www.centre-ub.org/studentships/call-for-applicants/ Informal enquiries about the
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on the project can be found here: https://hecustom.eu/ TSR patients now expect to regain the full, complex range of motion needed for everything from fastening a seat-belt to serving a tennis ball. Yet
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on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models) to assess and interrogate the issue of
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on the project can be found here: https://hecustom.eu/ Total shoulder replacement (TSR) is increasingly offered to younger, more active patients, yet implant loosening and migration remain leading
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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wide ranging (https://www.birmingham.ac.uk/research/medical-dental ), including a large portfolio of large-scale research programmes and infrastructure awards funded by charities, government and other
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at the University of Birmingham, including information about employee benefits and childcare provision is at https://www.birmingham.ac.uk/staff/index.aspx Main Duties Education To contribute on a
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in-situ monitoring data, ex-situ characterization data and failure data from aggressive loading of AM samples. The activities will span across exploratory data analysis, mathematical model building
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health and behaviour throughout pregnancy, enabling a holistic understanding of health trajectories and personalised interventions. The post focuses on analysing multimodal data collected from wearable
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during