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at the UKRI rate (£20,780 from 1/10/25). There is an enhanced budget for project costs (including travel) of £20,000. Applications are made to the Metamaterials programme for a PhD in Physics/Engineering. We
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approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host
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: Search for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide
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: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full time) as the programme of study You will then need to provide
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chain. Currently this possibility is hindered by the lack of automated end-to-end modelling workflows for risk and sensitivity assessment. Although many steps in the process can be currently automated
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the above 'Apply' button. Under programme name, select ‘School of Social Sciences and Humanities’. Please quote the advertised reference number, ‘FCDT-26-LU2’, in your application. This PhD is being
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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programme; please do not use any other link to apply to this project or your application may be rejected: https://sits.bham.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=FR167D&code2=0005