11 computer-programmer-"Multiple"-"U"-"O.P"-"St"-"Durham-University" PhD positions at University of Birmingham in United Kingdom
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                , Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and engineers. The candidates must be from eligible low and middle-income countries (find the complete list here: https 
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                This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits 
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                ). Funding notes: For details of the MIBTP project and programme, visit https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/SSmerdon/#molecular_shape-shifting Eligibility and further details 
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                : To apply, please follow this link, make an account, and submit an application via the university online admissions portal (via the above ‘Apply’ button). This link is unique to the MIBTP programme; please do 
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                click the above 'Apply' button, make an account, and submit an application via the university online admissions portal. This link is unique to the MIBTP programme; please do not use any other link 
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                (y.chen.22@bham.ac.uk ). Funding: The project is available through MIBTP funding program. For more details, please see: https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/ychen References: Shropshire 
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                portal. This link is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected. 
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                Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 101226717 Is the Job related to staff position within a Research Infrastructure? No Offer 
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                Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and 
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                our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically